388 Data Migration jobs in Malaysia

Summary

Business Data Migration expert for Manufacturing on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Material master, BOM’s, Routings, Equipments and Task lists. Acts as the functional SPoC for data migration on the assigned objects for a given release.

About The Role

Job Purpose

Business Data Migration expert for Manufacturing on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Material master, BOM’s, Routings, Equipments and Task lists. Acts as the functional SPoC for data migration on the assigned objects for a given release.

Major Accountabilities

Perform or ensure data cleansing tasks are completed on time Complete data collection for manual/construction objects on time Work together with IT counterparts to prepare value mappings Create and maintain master lists if applicable for assigned objects Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects Work together with IT team and country Business Data Owners to identify objects in scope for country Ensure data readiness & verify quality throughout data journey for assigned data objects Verify that data is fit for purpose (incl. alignment with internal/external stakeholders) Approve upload files before and after load for all assigned data objects (including formal approval) Perform manual (type-in) data loads into target clients where applicable for assigned objects Perform dual maintenance Execution and approval of data verification scripts Act as SPoC for assigned objects as part of defect management process during Hypercare

Key Performance Indicators / Measures Of Success

Data Cleansing completion for relevant data objects on project(s) within the region based on given data migration schedule Data Loads completion for relevant data objects on project(s) within the region based on given data migration schedule All major issues related to data quality for relevant data objects resolved based on given project(s) schedule

IDEAL BACKGROUND

Education & Qualifications

Bachelor or Master degree preferred

Languages

Fluent English (additional languages preferred)

Experiences

5+ years in country & global roles (ERP project implementation experience preferred)

Competencies

Good communication and negotiation skills, good stakeholder management Strategic and hands on way of working (running meetings, tracking progress, managing issues) Strong Excel Skills

Technical/Functional Skills & Knowledge

Strong knowledge about the business processes in the area of Manufacturing: Production planning, Supply chain, Plant maintenance Data Migration experience preferred

Why Novartis:

Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: receive:

You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. our Novartis Network:

If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? our Novartis Network:

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Select how often (in days) to receive an alert:

Date: 8 Aug 2025

Service Line / Portfolios: Engineering, AI & Data

Location:

Manila, PH

Title: Cloud Consultant based in Deloitte Consulting Philippines Delivery Center

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices.

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals.

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognized for their contributions.

Ready to unleash your potential with us? Join the winning team now!

Work you will do

Deloitte’s Engineering offers help to enable organization’s end-to-end journey from on-premise legacy systems to the cloud, from design through deployment, and leading to the ultimate destination—a transformed organization primed for growth.

As a Cloud Engineer, you will help build and connect sustainable cloud-native systems to thrive in the cloud ecosystem. Services include: Strategy & Architecture; Assets & Industry Solutions; Engineering & Integration

• Based on selection criteria set up driver tables for key migration objects to track data through migration process
• Based on mapping rules, develop data migration transform jobs using SQL with adequate tracing
• Establish exception handling through transform process
• Set up store procedures in Amazon Aurora PostgreSQL database to automate the migration pipeline
• Setup and manage code versioning using CodeCommit in AWS
• Follow best practice coding principles ensuring it is well structured and comments are included in code so it can be understood and diagnosed by another developer
• Produce documentation outlining pipeline and key code elements to enable handover of code
• Use AWS Data Migration Service to load data into target structure
• Perform and monitor ETL activities for test loads in Non-Production environments
• Receive feedback from peer review of code
• Promptly raise questions/issues or escalate blockers regarding the mapping documents so rules can be clarified by the team
• Clearly communicate and track progress within delivery tracking tools (ADO)

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:

• Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte’s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.

Enough about us, let’s talk about you

• Bachelor’s degree in Software Engineering, Information Technology, or equivalent
• Bachelor’s degree in Software Engineering, Information Technology, or equivalent
• At least 7 years working experience as a Data Engineer; adept experience in data engineering principles and how to apply advanced data manipulation processes to various types of data.
• Knowledge and experience of setting up and managing data engineering (ETL) and store procedures in AWS platform
• Built SQL to perform transformation of data for either analytical reporting or migration purposes – can provide an example of how it was applied and how it was ensured to be performant
• Experience in taking mapping rules to convert into code and then generating technical documentation
• Experience of generating code that is performant across high volume datasets and tuning to ensure transformation can run within the cutover window
• Experience in generating technical documentation
• High attention to detail
• Motivated and interested to learn
• Clear written and spoken communication in English

What is in store for you?

• Embrace the dynamic nature of our work environment with the opportunity to work on a hybrid set-up and on a shifting schedule.
• Rewards platform – your hard work won't go unnoticed at Deloitte!
• Training and development - at Deloitte we believe in investing in our best assets, the people! You will have access to world class training and funding towards industry and other professional certifications.
• Receive support andv mentoring to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression.
• Benefits effective upon hiring including paid time off and holidays, health, and life insurance!

Next Steps

Sound like the sort of role for you? Apply now.

Due to volume of applications, we regret only shortlisted candidates will be notified.

Candidates will only be contacted by authorized Deloitte Recruiters via firm’s business contact number or business email address.

In Philippines, the services are provided by Navarro Amper & Co and other related entities in Philippines ("Deloitte in Philippines"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Philippines, which is within the Deloitte Network, is the entity that is providing this Website.

#J-18808-Ljbffr

Select how often (in days) to receive an alert: Date: 8 Aug 2025 Service Line / Portfolios: Engineering, AI & Data Location: Manila, PH

Title:

Cloud Consultant based in Deloitte Consulting Philippines Delivery Center Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals. We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognized for their contributions. Ready to unleash your potential with us? Join the winning team now! Work you will do Deloitte’s Engineering offers help to enable organization’s end-to-end journey from on-premise legacy systems to the cloud, from design through deployment, and leading to the ultimate destination—a transformed organization primed for growth. As a Cloud Engineer, you will help build and connect sustainable cloud-native systems to thrive in the cloud ecosystem. Services include: Strategy & Architecture; Assets & Industry Solutions; Engineering & Integration Based on selection criteria set up driver tables for key migration objects to track data through migration process Based on mapping rules, develop data migration transform jobs using SQL with adequate tracing Establish exception handling through transform process Set up store procedures in Amazon Aurora PostgreSQL database to automate the migration pipeline Setup and manage code versioning using CodeCommit in AWS Follow best practice coding principles ensuring it is well structured and comments are included in code so it can be understood and diagnosed by another developer Produce documentation outlining pipeline and key code elements to enable handover of code Use AWS Data Migration Service to load data into target structure Perform and monitor ETL activities for test loads in Non-Production environments Receive feedback from peer review of code Promptly raise questions/issues or escalate blockers regarding the mapping documents so rules can be clarified by the team Clearly communicate and track progress within delivery tracking tools (ADO) Your role as a leader At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to: Demonstrate a strong commitment to personal learning and development. Understand how our daily work contributes to the priorities of the team and business. Understand the set expectations and demonstrate accountability in keeping personal performance on track. Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team. Demonstrate an appreciation for working with others. Understand what is fundamental to Deloitte’s success as a business. Demonstrate integrity and an awareness of strengths, differences, and personal impact. Develop their understanding of Deloitte and offer a fresh perspective. Enough about us, let’s talk about you Bachelor’s degree in Software Engineering, Information Technology, or equivalent Bachelor’s degree in Software Engineering, Information Technology, or equivalent At least 7 years working experience as a Data Engineer; adept experience in data engineering principles and how to apply advanced data manipulation processes to various types of data. Knowledge and experience of setting up and managing data engineering (ETL) and store procedures in AWS platform Built SQL to perform transformation of data for either analytical reporting or migration purposes – can provide an example of how it was applied and how it was ensured to be performant Experience in taking mapping rules to convert into code and then generating technical documentation Experience of generating code that is performant across high volume datasets and tuning to ensure transformation can run within the cutover window Experience in generating technical documentation High attention to detail Motivated and interested to learn Clear written and spoken communication in English What is in store for you? Embrace the dynamic nature of our work environment with the opportunity to work on a hybrid set-up and on a shifting schedule. Rewards platform – your hard work won't go unnoticed at Deloitte! Training and development - at Deloitte we believe in investing in our best assets, the people! You will have access to world class training and funding towards industry and other professional certifications. Receive support andv mentoring to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression. Benefits effective upon hiring including paid time off and holidays, health, and life insurance! Next Steps Sound like the sort of role for you? Apply now. Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm’s business contact number or business email address. In Philippines, the services are provided by Navarro Amper & Co and other related entities in Philippines ("Deloitte in Philippines"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Philippines, which is within the Deloitte Network, is the entity that is providing this Website.

#J-18808-Ljbffr

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning 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.

Essential Duties And Responsibilities

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
• Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
• Responsible to setup ETL pipeline for data integration from different sources to databases.
• Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
• Monitor data quality and support model performance tracking in production.
• Design and develop machine learning (ML) applications to implement in manufacturing process.
• Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
• Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
  
  

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.
• Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
• Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
  
  

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.
• Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
• Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
• Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
  
  

Skills

• Data preprocessing and feature engineering techniques.
• Basic data pipeline development and ETL/ELT workflows.
• Ability to interpret and visualize data insights.
• Strong analytical and problem-solving mindset.
• Attention to detail and a commitment to data accuracy and integrity.
• 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 believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. 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 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 Sandisk’s 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 #J-18808-Ljbffr

Join to apply for the Senior Engineer, Data Management role at MODEC Offshore Production Systems (Singapore) / Offshore Frontier Solutions

3 days ago Be among the first 25 applicants

Join to apply for the Senior Engineer, Data Management role at MODEC Offshore Production Systems (Singapore) / Offshore Frontier Solutions

Get AI-powered advice on this job and more exclusive features.

OFS Malaysia is a subsidiary of Offshore Frontier Solutions Pte. Ltd. (OFS), a MODEC Group company in Malaysia. Being part of Modec means being the protagonist of a challenging career and being in touch with the latest deep-water production systems, knowing that your career begins in Malaysia, but your talent can take you anywhere in the world.

If you want to be one of the greatest in the market, this is your opportunity!

We are currently looking for talented individuals to join us for below role

Senior Engineer, Data Management

We are currently based at KL Eco City, Malaysia.

Job Description

• Manage the Information and Data hand-over to the client of project information and documentation in accordance with the agreed procedures
• Monitor all Information and Data interfaces with Client or other third parties to ensure requirements are addressed, and coordinate with adequate stakeholders if necessary
  
  

Coordination with stakeholders

• Coordinate/Advise all the project teams (e.g. Engineering, Supply Chain, Completion & Commissioning, and subcontractors) to ensure information and data requirements are understood and complied with
• Coordinate with Engineers or each discipline members to ensure the information/data quality within the schedule
• MODEC started to focus on complying with Information and Data Management requirements, and understanding from different departments/stakeholders are crucial, so we need someone who can really involve departments and work closely to build not only protocols but also an organizational understanding and culture towards Information and Data Management
• Coordinate with Digital/IT team to ensure that the Project DB and Tools are properly setup as per project requirement
• Enterprise Data Platform/Data Management Program and Information and Data Management related tools are under development from scratch in MODEC, hence great collaborator to provide necessary input/feedback to Digital/IT team is required (need wholistic and long-term view to contribute to the enterprise level architecture, rather than solely standing on the project requirements view)
  
  

Quality Assurance / Reporting

• Identify issues related to data quality, and coordinate with/support stakeholders populating the data to eliminate the issues
• Monitor data quality KPIs to reflect the Project Information and Data Management status
  
  

Job Requirements

• 5-8 years experiences or Information Management position in Oil & Gas filed EPC contractor
• Background of either Mechanical, Piping, Electrical or Instrument Engineer experience in EPC contractor would be a big plus
• Background of Mechanical Completion & Commissioning Coordinator, CMMS Engineer or Application Engineer (AVEVA)
• Engineering/Science bachelor or master’s degree
• Good understanding of systems and software related EPCI and O&M (e.g. AVEVA, SAP, EDMS, Completion, CMMS)
• Communicative/ great team player
• Stakeholder management skills
• Familiar with Digital transformation

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Oil and Gas

Referrals increase your chances of interviewing at MODEC Offshore Production Systems (Singapore) / Offshore Frontier Solutions by 2x

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**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning 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.
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
+ Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
+ Responsible to setup ETL pipeline for data integration from different sources to databases.
+ Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
+ Monitor data quality and support model performance tracking in production.
+ Design and develop machine learning (ML) applications to implement in manufacturing process.
+ Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
+ Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
**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.
+ Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
+ Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
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.
+ Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
+ Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Basic data pipeline development and ETL/ELT workflows.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ Attention to detail and a commitment to data accuracy and integrity.
+ 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 believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. 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 ( ) 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 Sandisk's 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

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning 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.

Essential Duties And Responsibilities

Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup. Responsible to setup ETL pipeline for data integration from different sources to databases. Assist in implementing basic machine learning models (e.g., regression, classification) under guidance. Monitor data quality and support model performance tracking in production. Design and develop machine learning (ML) applications to implement in manufacturing process. Build dashboards and reports to visualize process variables, ML outputs and business KPIs. Document data flows, ML pipelines, and model metadata for transparency and reproducibility.

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. Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy). Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).

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. Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI. Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow. Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.

Skills

Data preprocessing and feature engineering techniques. Basic data pipeline development and ETL/ELT workflows. Ability to interpret and visualize data insights. Strong analytical and problem-solving mindset. Attention to detail and a commitment to data accuracy and integrity. 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 believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. 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 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 Sandisk’s 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 #J-18808-Ljbffr

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Senior Engineer, Data Management

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MODEC Offshore Production Systems (Singapore) / Offshore Frontier Solutions 3 days ago Be among the first 25 applicants Join to apply for the

Senior Engineer, Data Management

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MODEC Offshore Production Systems (Singapore) / Offshore Frontier Solutions Get AI-powered advice on this job and more exclusive features. OFS Malaysia is a subsidiary of Offshore Frontier Solutions Pte. Ltd. (OFS), a MODEC Group company in Malaysia. Being part of Modec means being the protagonist of a challenging career and being in touch with the latest deep-water production systems, knowing that your career begins in Malaysia, but your talent can take you anywhere in the world.

If you want to be one of the greatest in the market, this is your opportunity!

We are currently looking for talented individuals to join us for below role

Senior Engineer, Data Management

We are currently based at KL Eco City, Malaysia.

Job Description

Manage the Information and Data hand-over to the client of project information and documentation in accordance with the agreed procedures Monitor all Information and Data interfaces with Client or other third parties to ensure requirements are addressed, and coordinate with adequate stakeholders if necessary

Coordination with stakeholders

Coordinate/Advise all the project teams (e.g. Engineering, Supply Chain, Completion & Commissioning, and subcontractors) to ensure information and data requirements are understood and complied with Coordinate with Engineers or each discipline members to ensure the information/data quality within the schedule MODEC started to focus on complying with Information and Data Management requirements, and understanding from different departments/stakeholders are crucial, so we need someone who can really involve departments and work closely to build not only protocols but also an organizational understanding and culture towards Information and Data Management Coordinate with Digital/IT team to ensure that the Project DB and Tools are properly setup as per project requirement Enterprise Data Platform/Data Management Program and Information and Data Management related tools are under development from scratch in MODEC, hence great collaborator to provide necessary input/feedback to Digital/IT team is required (need wholistic and long-term view to contribute to the enterprise level architecture, rather than solely standing on the project requirements view)

Quality Assurance / Reporting

Identify issues related to data quality, and coordinate with/support stakeholders populating the data to eliminate the issues Monitor data quality KPIs to reflect the Project Information and Data Management status

Job Requirements

5-8 years experiences or Information Management position in Oil & Gas filed EPC contractor Background of either Mechanical, Piping, Electrical or Instrument Engineer experience in EPC contractor would be a big plus Background of Mechanical Completion & Commissioning Coordinator, CMMS Engineer or Application Engineer (AVEVA) Engineering/Science bachelor or master’s degree Good understanding of systems and software related EPCI and O&M (e.g. AVEVA, SAP, EDMS, Completion, CMMS) Communicative/ great team player Stakeholder management skills Familiar with Digital transformation

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Oil and Gas Referrals increase your chances of interviewing at MODEC Offshore Production Systems (Singapore) / Offshore Frontier Solutions by 2x Sign in to set job alerts for “Senior Software Engineer” roles.

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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: 201773
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.

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