What Jobs are available for Sql Engineer in Malaysia?
Showing 82 Sql Engineer jobs in Malaysia
Manager, Data Management
Kuala Lumpur, Kuala Lumpur
ResMed
Posted today
Job Viewed
Job Description
Summary
We're seeking an experienced and dynamic Manager for Data Management to lead a dedicated team of data managers and analysts. This team will collaborate closely with our GTS to design, implement, and manage data sources and DataMart solutions. These solutions are the backbone of efficient and secure access to critical business data. Additionally, the Manager for Data Management will play a pivotal role in understanding the business objectives to then find new data sources for acquisition and ingestion to help drive analytics to achieve ResMed goals. Key Responsibilities
Data Access Management: Effectively collaborate with our GTS business partners to help with the development and maintenance of data access policies and procedures.
Collaborate with cross-functional teams to define data access requirements and user permissions.
Implement and maintain data access controls to ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).
Design and manage the matching/connecting of new data to existing customer and physician data to progressively enrich our market understanding.
Data Warehousing Strategy: Effectively collaborate with our GTS business partners to develop and execute a data warehousing strategy aligned with business objectives.
Lead the design and architecture of data warehousing solutions to support data integration and storage needs.
Ensure data warehousing scalability and performance optimization.
Team Leadership: Master the business objectives to identify, ingest and manage new data sources for the CMG
Build and manage a high-performing team of data engineers and data warehouse administrators.
Provide mentorship, guidance, and professional development opportunities to team members.
Data Quality and Governance: Implement data quality checks and data governance practices to maintain data accuracy and consistency.
Define and enforce data retention policies and archival strategies.
Performance Monitoring and Optimization: Monitor the performance of data access and warehousing solutions and implement optimizations as needed.
Proactively identify and resolve data-related issues and bottlenecks.
Vendor Management: Effective collaboration with our GTS department to help evaluate and manage relationships with data access and warehousing technology vendors.
Collaborate with vendors to implement best practices and stay updated on industry trends.
Evaluate and manage non-enterprise data vendors.
Reporting and Documentation: Prepare and deliver regular reports on data access and warehousing performance and compliance.
Maintain comprehensive documentation of data access processes and data warehouse architecture.
Qualifications
Bachelor’s degree in computer science, Information Technology, Finance/Accounting managing a high number of large data sets, or a related field (Master's degree preferred).
Minimum of 10 years of experience in data management, data warehousing, data analysis, and data access control.
Excellent resourcefulness and entrepreneurial skills to lift and pivot projects as priorities change
Strong leadership and team management skills. Minimum of 5 years of experience leading people.
Proficiency in data warehousing technologies (e.g., SQL Server, Oracle, AWS Redshift, Snowflake).
Knowledge of data access control tools and methodologies.
Experience with data modeling and ETL processes.
Excellent communication and collaboration skills.
Strong problem-solving and analytical abilities.
Knowledge of data privacy and security regulations.
Certification in relevant data management or warehousing technologies is a plus.
Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.
#J-18808-Ljbffr
We're seeking an experienced and dynamic Manager for Data Management to lead a dedicated team of data managers and analysts. This team will collaborate closely with our GTS to design, implement, and manage data sources and DataMart solutions. These solutions are the backbone of efficient and secure access to critical business data. Additionally, the Manager for Data Management will play a pivotal role in understanding the business objectives to then find new data sources for acquisition and ingestion to help drive analytics to achieve ResMed goals. Key Responsibilities
Data Access Management: Effectively collaborate with our GTS business partners to help with the development and maintenance of data access policies and procedures.
Collaborate with cross-functional teams to define data access requirements and user permissions.
Implement and maintain data access controls to ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).
Design and manage the matching/connecting of new data to existing customer and physician data to progressively enrich our market understanding.
Data Warehousing Strategy: Effectively collaborate with our GTS business partners to develop and execute a data warehousing strategy aligned with business objectives.
Lead the design and architecture of data warehousing solutions to support data integration and storage needs.
Ensure data warehousing scalability and performance optimization.
Team Leadership: Master the business objectives to identify, ingest and manage new data sources for the CMG
Build and manage a high-performing team of data engineers and data warehouse administrators.
Provide mentorship, guidance, and professional development opportunities to team members.
Data Quality and Governance: Implement data quality checks and data governance practices to maintain data accuracy and consistency.
Define and enforce data retention policies and archival strategies.
Performance Monitoring and Optimization: Monitor the performance of data access and warehousing solutions and implement optimizations as needed.
Proactively identify and resolve data-related issues and bottlenecks.
Vendor Management: Effective collaboration with our GTS department to help evaluate and manage relationships with data access and warehousing technology vendors.
Collaborate with vendors to implement best practices and stay updated on industry trends.
Evaluate and manage non-enterprise data vendors.
Reporting and Documentation: Prepare and deliver regular reports on data access and warehousing performance and compliance.
Maintain comprehensive documentation of data access processes and data warehouse architecture.
Qualifications
Bachelor’s degree in computer science, Information Technology, Finance/Accounting managing a high number of large data sets, or a related field (Master's degree preferred).
Minimum of 10 years of experience in data management, data warehousing, data analysis, and data access control.
Excellent resourcefulness and entrepreneurial skills to lift and pivot projects as priorities change
Strong leadership and team management skills. Minimum of 5 years of experience leading people.
Proficiency in data warehousing technologies (e.g., SQL Server, Oracle, AWS Redshift, Snowflake).
Knowledge of data access control tools and methodologies.
Experience with data modeling and ETL processes.
Excellent communication and collaboration skills.
Strong problem-solving and analytical abilities.
Knowledge of data privacy and security regulations.
Certification in relevant data management or warehousing technologies is a plus.
Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
0
Data Management Specialist
Kulai, Johor
Halliburton Energy Services
Posted 2 days ago
Job Viewed
Job Description
Select how often (in days) to receive an alert:
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties
Under direct supervision, may process print requests and prepare transmittals
May distribute engineering, supplier, and technical data as required
May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
May create image files using reproduction equipment and auto programs
May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
Consequences of error are easily measured and can be confined
Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
No. 22 Jalan Persiaran Teknolo,Senai,Johann-Do not use,81400, Malaysia
Requisition Number: Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Supply Chain Mgmt Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information Compensation is competitive and commensurate with experience.
Job Segment: Supply Chain, Data Management, Database, Supply, Manager, Operations, Data, Technology, Management
#J-18808-Ljbffr
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties
Under direct supervision, may process print requests and prepare transmittals
May distribute engineering, supplier, and technical data as required
May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
May create image files using reproduction equipment and auto programs
May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
Consequences of error are easily measured and can be confined
Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
No. 22 Jalan Persiaran Teknolo,Senai,Johann-Do not use,81400, Malaysia
Requisition Number: Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Supply Chain Mgmt Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information Compensation is competitive and commensurate with experience.
Job Segment: Supply Chain, Data Management, Database, Supply, Manager, Operations, Data, Technology, Management
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
1
Manager, Data Management
Kuala Lumpur, Kuala Lumpur
ResMed Inc
Posted 2 days ago
Job Viewed
Job Description
Manager, Data Management page is loaded# Manager, Data Managementlocations:
Kuala Lumpur, Malaysiatime type:
Full timeposted on:
Posted Todayjob requisition id:
JR_ **SUMMARY**We're seeking an experienced and dynamic Manager for Data Management to lead a dedicated team of data managers and analysts. This team will collaborate closely with our GTS to design, implement, and manage data sources and DataMart solutions. These solutions are the backbone of efficient and secure access to critical business data.Additionally, the Manager for Data Management will play a pivotal role in understanding the business objectives to then find new data sources for acquisition and ingestion to help drive analytics to achieve ResMed goals.**Key Responsibilities:**Data Access Management:* Effectively collaborate with our GTS business partners to help with the development and maintenance of data access policies and procedures.* Collaborate with cross-functional teams to define data access requirements and user permissions.* Implement and maintain data access controls to ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).* Design and manage the matching/connecting of new data to existing customer and physician data to progressively enrich our market understanding.Data Warehousing Strategy:* Effectively collaborate with our GTS business partners to develop and execute a data warehousing strategy aligned with business objectives.* Lead the design and architecture of data warehousing solutions to support data integration and storage needs.* Ensure data warehousing scalability and performance optimization.Team Leadership:* Master the business objectives to identify, ingest and manage new data sources for the CMG* Build and manage a high-performing team of data engineers and data warehouse administrators.* Provide mentorship, guidance, and professional development opportunities to team members.Data Quality and Governance:* Implement data quality checks and data governance practices to maintain data accuracy and consistency.* Define and enforce data retention policies and archival strategies.Performance Monitoring and Optimization:* Monitor the performance of data access and warehousing solutions and implement optimizations as needed.* Proactively identify and resolve data-related issues and bottlenecks.Vendor Management:* Effective collaboration with our GTS department to help evaluate and manage relationships with data access and warehousing technology vendors.* Collaborate with vendors to implement best practices and stay updated on industry trends.* Evaluate and manage non-enterprise data vendors.Reporting and Documentation:
* Prepare and deliver regular reports on data access and warehousing performance and compliance.* Maintain comprehensive documentation of data access processes and data warehouse architecture.**Qualifications:*** Bachelor’s degree in computer science, Information Technology, Finance/Accounting managing a high number of large data sets, or a related field (Master's degree preferred).* Minimum of 10 years of experience in data management, data warehousing, data analysis, and data access control.* Excellent resourcefulness and entrepreneurial skills to lift and pivot projects as priorities change* Strong leadership and team management skills. Minimum of 5 years of experience leading people.* Proficiency in data warehousing technologies (e.g., SQL Server, Oracle, AWS Redshift, Snowflake).* Knowledge of data access control tools and methodologies.* Experience with data modeling and ETL processes.* Excellent communication and collaboration skills.* Strong problem-solving and analytical abilities.* Knowledge of data privacy and security regulations.* Certification in relevant data management or warehousing technologies is a plus.Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant. #J-18808-Ljbffr
Kuala Lumpur, Malaysiatime type:
Full timeposted on:
Posted Todayjob requisition id:
JR_ **SUMMARY**We're seeking an experienced and dynamic Manager for Data Management to lead a dedicated team of data managers and analysts. This team will collaborate closely with our GTS to design, implement, and manage data sources and DataMart solutions. These solutions are the backbone of efficient and secure access to critical business data.Additionally, the Manager for Data Management will play a pivotal role in understanding the business objectives to then find new data sources for acquisition and ingestion to help drive analytics to achieve ResMed goals.**Key Responsibilities:**Data Access Management:* Effectively collaborate with our GTS business partners to help with the development and maintenance of data access policies and procedures.* Collaborate with cross-functional teams to define data access requirements and user permissions.* Implement and maintain data access controls to ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).* Design and manage the matching/connecting of new data to existing customer and physician data to progressively enrich our market understanding.Data Warehousing Strategy:* Effectively collaborate with our GTS business partners to develop and execute a data warehousing strategy aligned with business objectives.* Lead the design and architecture of data warehousing solutions to support data integration and storage needs.* Ensure data warehousing scalability and performance optimization.Team Leadership:* Master the business objectives to identify, ingest and manage new data sources for the CMG* Build and manage a high-performing team of data engineers and data warehouse administrators.* Provide mentorship, guidance, and professional development opportunities to team members.Data Quality and Governance:* Implement data quality checks and data governance practices to maintain data accuracy and consistency.* Define and enforce data retention policies and archival strategies.Performance Monitoring and Optimization:* Monitor the performance of data access and warehousing solutions and implement optimizations as needed.* Proactively identify and resolve data-related issues and bottlenecks.Vendor Management:* Effective collaboration with our GTS department to help evaluate and manage relationships with data access and warehousing technology vendors.* Collaborate with vendors to implement best practices and stay updated on industry trends.* Evaluate and manage non-enterprise data vendors.Reporting and Documentation:
* Prepare and deliver regular reports on data access and warehousing performance and compliance.* Maintain comprehensive documentation of data access processes and data warehouse architecture.**Qualifications:*** Bachelor’s degree in computer science, Information Technology, Finance/Accounting managing a high number of large data sets, or a related field (Master's degree preferred).* Minimum of 10 years of experience in data management, data warehousing, data analysis, and data access control.* Excellent resourcefulness and entrepreneurial skills to lift and pivot projects as priorities change* Strong leadership and team management skills. Minimum of 5 years of experience leading people.* Proficiency in data warehousing technologies (e.g., SQL Server, Oracle, AWS Redshift, Snowflake).* Knowledge of data access control tools and methodologies.* Experience with data modeling and ETL processes.* Excellent communication and collaboration skills.* Strong problem-solving and analytical abilities.* Knowledge of data privacy and security regulations.* Certification in relevant data management or warehousing technologies is a plus.Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant. #J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
2
Data Management Specialist
Kulai, Johor
Halliburton
Posted 2 days ago
Job Viewed
Job Description
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties
Under direct supervision, may process print requests and prepare transmittals
May distribute engineering, supplier, and technical data as required
May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
May create image files using reproduction equipment and auto programs
May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
Consequences of error are easily measured and can be confined
Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications No advanced qualifications listed.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location
No. 22 Jalan Persiaran Teknolo, Senai, Johann-Do not use, 81400, Malaysia
Job Details
Requisition Number:
Experience Level:
Experienced Hire
Job Family:
Engineering/Science/Technology
Product Service Line:
Supply Chain Mgmt
Full Time / Part Time:
Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
#J-18808-Ljbffr
Job Duties
Under direct supervision, may process print requests and prepare transmittals
May distribute engineering, supplier, and technical data as required
May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
May create image files using reproduction equipment and auto programs
May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
Consequences of error are easily measured and can be confined
Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications No advanced qualifications listed.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location
No. 22 Jalan Persiaran Teknolo, Senai, Johann-Do not use, 81400, Malaysia
Job Details
Requisition Number:
Experience Level:
Experienced Hire
Job Family:
Engineering/Science/Technology
Product Service Line:
Supply Chain Mgmt
Full Time / Part Time:
Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
3
Manager Data Management
Petaling Jaya, Selangor
Halal Development Corporation Berhad (HDC)
Posted 2 days ago
Job Viewed
Job Description
Dedicated professionals with extensive experience helping recruitment teams identify new talents for companies. Successfully implemented… KEY TASKS AND ACTIVITIES
Manage end-to-end data management processes, including data acquisition, integration, quality assurance, governance, and reporting.
Develop and implement data management policies, standards, and procedures to ensure data accuracy, consistency, and security.
Manage initiatives on data management with other agencies and national-level committee.
Oversee the design and operation of data systems such as databases, data warehouses, and data lakes to support organizational needs.
Conduct and support data analysis activities, including statistical analysis and data visualization, to provide insights for decision-making.
Collaborate with cross-functional teams to understand data requirements and deliver effective, data‑driven solutions.
Coordinate with external vendors, partners, and agencies to ensure timely and accurate delivery of data-related initiatives.
REQUIREMENTS (Minimum)
Bachelor’s Degree in Economy, Statistics, Computer Science or appropriate field of study
Minimum 5 years’ of working experience in data management/ research
Strong knowledge of data management principles, techniques, and best practices
Experience with data management and analysis tools and technologies, such as databases, data visualization tools (e.g., Tableau, PowerBI) data warehouse, statistical software and data governance frameworks. programming languages (e.g., Python, R)
Strong analytical and problem‑solving skills,
Proficiency in report writing and presentation.
Certification in relevant areas, such as Certified Data Management Professional (CDMP) is an added advantage.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Government Administration
#J-18808-Ljbffr
Manage end-to-end data management processes, including data acquisition, integration, quality assurance, governance, and reporting.
Develop and implement data management policies, standards, and procedures to ensure data accuracy, consistency, and security.
Manage initiatives on data management with other agencies and national-level committee.
Oversee the design and operation of data systems such as databases, data warehouses, and data lakes to support organizational needs.
Conduct and support data analysis activities, including statistical analysis and data visualization, to provide insights for decision-making.
Collaborate with cross-functional teams to understand data requirements and deliver effective, data‑driven solutions.
Coordinate with external vendors, partners, and agencies to ensure timely and accurate delivery of data-related initiatives.
REQUIREMENTS (Minimum)
Bachelor’s Degree in Economy, Statistics, Computer Science or appropriate field of study
Minimum 5 years’ of working experience in data management/ research
Strong knowledge of data management principles, techniques, and best practices
Experience with data management and analysis tools and technologies, such as databases, data visualization tools (e.g., Tableau, PowerBI) data warehouse, statistical software and data governance frameworks. programming languages (e.g., Python, R)
Strong analytical and problem‑solving skills,
Proficiency in report writing and presentation.
Certification in relevant areas, such as Certified Data Management Professional (CDMP) is an added advantage.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Government Administration
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
4
Data Management Specialist
Kulai, Johor
-
Posted 2 days ago
Job Viewed
Job Description
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.
Job Duties
Under direct supervision, may process print requests and prepare transmittals
May distribute engineering, supplier, and technical data as required
May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
May create image files using reproduction equipment and auto programs
May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
Consequences of error are easily measured and can be confined
Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location No. 22 Jalan Persiaran Teknolo,Senai,Johann-Do not use,81400, Malaysia
Job Details
Requisition Number:
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full Time
Compensation Information Compensation is competitive and commensurate with experience.
Job Segment Supply Chain, Data Management, Database, Supply, Manager, Operations, Data, Technology, Management
#J-18808-Ljbffr
Job Duties
Under direct supervision, may process print requests and prepare transmittals
May distribute engineering, supplier, and technical data as required
May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
May create image files using reproduction equipment and auto programs
May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
Consequences of error are easily measured and can be confined
Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location No. 22 Jalan Persiaran Teknolo,Senai,Johann-Do not use,81400, Malaysia
Job Details
Requisition Number:
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full Time
Compensation Information Compensation is competitive and commensurate with experience.
Job Segment Supply Chain, Data Management, Database, Supply, Manager, Operations, Data, Technology, Management
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
5
Master Data Management
Klang, Selangor
Agensi Pekerjaan MatchLink
Posted 4 days ago
Job Viewed
Job Description
Responsibilities
Perform Data Entry in systems (mainly in Flex and for Material Master Data, BOM, Cost Sheets) with proper Data Quality and according to agreed SLAs/KPIs. Analytical mindset managing transformation of data in Excel (or possible other tool and in case with new tool). Proper communications skills interacting with Suppliers and company internal Depts (based in Singapore + Brand Depts also in EMEA and NORA) mainly by e-mail to request and validate Data. Job Requirements
Diploma/Bachelor's degree in Data Science, Data Analysis, Business Analysis Statistics, Computer Science, Business Administration or a related field (fresh graduates are welcomed). Minimum 2 years of experience as a Data Analyst or in a similar data-focused role. Strong proficiency in data analysis tools such as Excel, SQL, and data visualisation software. Good proficiency in Excel Analysis or other Data analysis tools. Excellent problem-solving and critical thinking skills, with the ability to interpret data and draw meaningful conclusions. Strong attention to detail and a commitment to data accuracy and integrity. Files must be less than
8 MB . Allowed file types:
jpg jpeg png pdf doc docx .
#J-18808-Ljbffr
Perform Data Entry in systems (mainly in Flex and for Material Master Data, BOM, Cost Sheets) with proper Data Quality and according to agreed SLAs/KPIs. Analytical mindset managing transformation of data in Excel (or possible other tool and in case with new tool). Proper communications skills interacting with Suppliers and company internal Depts (based in Singapore + Brand Depts also in EMEA and NORA) mainly by e-mail to request and validate Data. Job Requirements
Diploma/Bachelor's degree in Data Science, Data Analysis, Business Analysis Statistics, Computer Science, Business Administration or a related field (fresh graduates are welcomed). Minimum 2 years of experience as a Data Analyst or in a similar data-focused role. Strong proficiency in data analysis tools such as Excel, SQL, and data visualisation software. Good proficiency in Excel Analysis or other Data analysis tools. Excellent problem-solving and critical thinking skills, with the ability to interpret data and draw meaningful conclusions. Strong attention to detail and a commitment to data accuracy and integrity. Files must be less than
8 MB . Allowed file types:
jpg jpeg png pdf doc docx .
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Sql engineer Jobs in Malaysia !
6
VP, Data Management (Data Steward)
Kuala Lumpur, Kuala Lumpur
SMBC Group
Posted 13 days ago
Job Viewed
Job Description
VP, Data Management (Data Steward) – SMBC Group SMBC Group, Kuala Lumpur, Malaysia
Join to apply for the role of VP, Data Management (Data Steward).
Key Responsibilities
Implement data stewardship principles that align with the data governance framework and policies.
Work with business units and Data Stewards to create and enforce data classification, validation processes and data quality rules, and assist in addressing issues across various domains including risk, finance, AML/KYC, and customer data.
Document and maintain data governance processes and reporting mechanisms.
Support data lineage activities to ensure data traceability and integrity.
Assist in designing, implementing, and adopting data governance tools like Collibra.
Ensure compliance with regulatory standards, including BCBS 239, in all data governance activities.
Promote best practices in data governance and encourage a data quality and stewardship culture.
Provide training and support to data stewards and stakeholders on data governance practices.
Perform other duties assigned by Management and HOD; cover duties of staff members when absent; ensure timely escalation to Supervisors/Management in case of any issues.
Qualifications / Experience
4 to 6+ years of experience in data-related disciplines (e.g., Data Governance, Data Management, Regulatory Reporting, Data Warehouse, Data Lake, ETL, or Data Architecture).
Proven experience in data stewardship and governance within the banking sector.
Ability to design and implement data quality rules and resolve data issues across various domains, including strong knowledge and practical implementation experience in regulatory compliance requirements.
Strong understanding of regulatory requirements for banks, including regulatory reporting and BCBS 239.
Hands‑on experience with data governance tools, particularly Collibra, and knowledge of other DG tools (Alation, Informatica, etc.) and automation tools (Alteryx, etc.).
Excellent documentation and process management skills, collaborative mindset, and strong interpersonal and communication skills.
Experience advising banking clients on implementing data governance frameworks and tools, ensuring alignment with regulatory requirements and business objectives.
Excellent communication, interpersonal, and presentation skills.
#J-18808-Ljbffr
Join to apply for the role of VP, Data Management (Data Steward).
Key Responsibilities
Implement data stewardship principles that align with the data governance framework and policies.
Work with business units and Data Stewards to create and enforce data classification, validation processes and data quality rules, and assist in addressing issues across various domains including risk, finance, AML/KYC, and customer data.
Document and maintain data governance processes and reporting mechanisms.
Support data lineage activities to ensure data traceability and integrity.
Assist in designing, implementing, and adopting data governance tools like Collibra.
Ensure compliance with regulatory standards, including BCBS 239, in all data governance activities.
Promote best practices in data governance and encourage a data quality and stewardship culture.
Provide training and support to data stewards and stakeholders on data governance practices.
Perform other duties assigned by Management and HOD; cover duties of staff members when absent; ensure timely escalation to Supervisors/Management in case of any issues.
Qualifications / Experience
4 to 6+ years of experience in data-related disciplines (e.g., Data Governance, Data Management, Regulatory Reporting, Data Warehouse, Data Lake, ETL, or Data Architecture).
Proven experience in data stewardship and governance within the banking sector.
Ability to design and implement data quality rules and resolve data issues across various domains, including strong knowledge and practical implementation experience in regulatory compliance requirements.
Strong understanding of regulatory requirements for banks, including regulatory reporting and BCBS 239.
Hands‑on experience with data governance tools, particularly Collibra, and knowledge of other DG tools (Alation, Informatica, etc.) and automation tools (Alteryx, etc.).
Excellent documentation and process management skills, collaborative mindset, and strong interpersonal and communication skills.
Experience advising banking clients on implementing data governance frameworks and tools, ensuring alignment with regulatory requirements and business objectives.
Excellent communication, interpersonal, and presentation skills.
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
7
VP, Data Management (Data Analytics)
Kuala Lumpur, Kuala Lumpur
SMBC Group
Posted 13 days ago
Job Viewed
Job Description
SMBC Group Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Overview Role based in Kuala Lumpur, Malaysia.
Responsibilities
Identifying and prioritising data-driven improvements opportunities in collaboration with stakeholders.
Developing and implementation of data analytics solutions to address specific business challenges.
Conducting design workshops to co-create use-centric solutions aligned to business goals.
Providing analytics support and dashboard development to enhance decision-making and operational performance.
Developing and promoting analytical models and dashboards that deliver actionable insights.
Ensuring data solutions adhere to data management and data governance policies.
Maintaining smooth day-to-day data operations to ensure data availability and accuracy for analytics deliverables.
Identifying and resolving data quality issues in collaboration with cross-functional teams.
Establishing best practices and guidelines for analytical tools and processes to optimise data usage.
Developing and delivering training programs and workshops to enhance data literacy across the organization.
Delivering regular data communications to raise data awareness and promote a strong data governance culture.
Others
To perform other duties as assigned by the Management, HOD and Team Lead.
To relieve or cover duties of staff members in the department in his/her absence.
Ensure timely escalation to Team Lead/HOD/Management in case of any issues.
Working Experience
Bachelor degree with 8+ years of experience in data science, data analytics, data governance, data management or MIS/reporting.
Subject Matter Expertise along with extensive hands-on experience in driving the development and implementation of data analytics solutions specifically within banking and financial institutions.
Proficient in BI tools such as Qlikview, Tableau, Power BI etc with proven experience in developing interactive, effective and insight-driven management dashboards and business reports.
Strong Python/R programming skills and expertise in statistical modeling, machine learning, and predictive analytics.
Experience in data management, data integration, data governance and ability to work across departments and business units/functions effectively.
Experience in conducting data discovery, performing root cause analysis and making recommendations for data quality issues resolution.
Experience in managing metadata and master data management.
Strong knowledge of data management and data governance framework, UI/UX principles and data analytics best practices.
Strong experience on data governance tool such as Collibra, Informatica, Alation etc will be an added advantage.
Effective communication, presentation and influencing skills.
Seniority level
Executive
Employment type
Full-time
Job function
Business Development and Sales
Referrals increase your chances of interviewing at SMBC Group by 2x.
Get notified about new Vice President of Analytics jobs in
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia .
#J-18808-Ljbffr
Overview Role based in Kuala Lumpur, Malaysia.
Responsibilities
Identifying and prioritising data-driven improvements opportunities in collaboration with stakeholders.
Developing and implementation of data analytics solutions to address specific business challenges.
Conducting design workshops to co-create use-centric solutions aligned to business goals.
Providing analytics support and dashboard development to enhance decision-making and operational performance.
Developing and promoting analytical models and dashboards that deliver actionable insights.
Ensuring data solutions adhere to data management and data governance policies.
Maintaining smooth day-to-day data operations to ensure data availability and accuracy for analytics deliverables.
Identifying and resolving data quality issues in collaboration with cross-functional teams.
Establishing best practices and guidelines for analytical tools and processes to optimise data usage.
Developing and delivering training programs and workshops to enhance data literacy across the organization.
Delivering regular data communications to raise data awareness and promote a strong data governance culture.
Others
To perform other duties as assigned by the Management, HOD and Team Lead.
To relieve or cover duties of staff members in the department in his/her absence.
Ensure timely escalation to Team Lead/HOD/Management in case of any issues.
Working Experience
Bachelor degree with 8+ years of experience in data science, data analytics, data governance, data management or MIS/reporting.
Subject Matter Expertise along with extensive hands-on experience in driving the development and implementation of data analytics solutions specifically within banking and financial institutions.
Proficient in BI tools such as Qlikview, Tableau, Power BI etc with proven experience in developing interactive, effective and insight-driven management dashboards and business reports.
Strong Python/R programming skills and expertise in statistical modeling, machine learning, and predictive analytics.
Experience in data management, data integration, data governance and ability to work across departments and business units/functions effectively.
Experience in conducting data discovery, performing root cause analysis and making recommendations for data quality issues resolution.
Experience in managing metadata and master data management.
Strong knowledge of data management and data governance framework, UI/UX principles and data analytics best practices.
Strong experience on data governance tool such as Collibra, Informatica, Alation etc will be an added advantage.
Effective communication, presentation and influencing skills.
Seniority level
Executive
Employment type
Full-time
Job function
Business Development and Sales
Referrals increase your chances of interviewing at SMBC Group by 2x.
Get notified about new Vice President of Analytics jobs in
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia .
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
8
Engineer, Data Management Engineering
Butterworth, Pulau Pinang
Sandisk
Posted 2 days ago
Job Viewed
Job Description
Overview We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, computer vision and GenAI to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
Responsibilities
Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process.
Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction.
Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.
Qualifications
REQUIRED:
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
0–2 years of experience in data analytics, data engineering, or machine learning.
Proficiency in SQL for data querying and manipulation.
Strong programming skills in Python; experience with SQL, Spark, or other big data tools for processing large-scale manufacturing/sensor datasets.
Proficiency in ML frameworks (PyTorch, TensorFlow/Keras) and CV libraries (OpenCV, Detectron2, MMDetection).
Experience with model deployment in production (e.g., Docker, Kubernetes, edge devices) for real-time or batch inference.
PREFERRED:
Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
Familiarity with version control tools such as Git.
Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
SKILLS:
Data preprocessing and feature engineering techniques.
Ability to interpret and visualize data insights.
Strong analytical and problem-solving mindset.
Effective written and verbal communication.
Team collaboration and a proactive learning attitude.
Additional information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at (emailprotected) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES:
Sandisk has received reports of scams where a payment is requested on Sandisku2019s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email (emailprotected).
Note: This description does not include any salary information. Please consult the official posting for compensation details.
#J-18808-Ljbffr
Responsibilities
Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process.
Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction.
Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.
Qualifications
REQUIRED:
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
0–2 years of experience in data analytics, data engineering, or machine learning.
Proficiency in SQL for data querying and manipulation.
Strong programming skills in Python; experience with SQL, Spark, or other big data tools for processing large-scale manufacturing/sensor datasets.
Proficiency in ML frameworks (PyTorch, TensorFlow/Keras) and CV libraries (OpenCV, Detectron2, MMDetection).
Experience with model deployment in production (e.g., Docker, Kubernetes, edge devices) for real-time or batch inference.
PREFERRED:
Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
Familiarity with version control tools such as Git.
Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
SKILLS:
Data preprocessing and feature engineering techniques.
Ability to interpret and visualize data insights.
Strong analytical and problem-solving mindset.
Effective written and verbal communication.
Team collaboration and a proactive learning attitude.
Additional information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at (emailprotected) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES:
Sandisk has received reports of scams where a payment is requested on Sandisku2019s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email (emailprotected).
Note: This description does not include any salary information. Please consult the official posting for compensation details.
#J-18808-Ljbffr
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
9