380 Data Support jobs in Malaysia

We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate with data engineers, analysts, and IT teams to optimize data pipelines, and resolve integration and performance challenges. You will play a key role in ensuring data quality and supporting data-driven decision-making while leveraging your expertise in cloud and on-premises technologies.

A snapshot of what you will be doing here

Advanced Troubleshooting & Optimization : Diagnose and resolve complex data integration and processing issues, troubleshoot performance bottlenecks, and ensure high availability of critical data services with minimal downtime.

Data Pipeline Management & Optimization : Oversee and optimize data pipelines (ETL/ELT) across on-premise and cloud environments, ensuring seamless data flow while proactively enhancing data throughput, scalability, and resource efficiency.

Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices.

Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures, and performance issues and leverage advanced scripting and orchestration tools (e.g., Python, Bash, Apache Airflow) to automate workflows and reduce operational overhead.

Root Cause Analysis & Incident Management: Lead post-incident reviews, perform root cause analysis for data disruptions, and implement corrective actions, while creating detailed reports and documentation to drive continuous improvement.

Documentation & Knowledge Sharing: Create detailed technical documentation for data systems, workflows, and troubleshooting procedures, while developing knowledge-sharing resources to ensure best practices are consistently applied across the organization.

Mentorship & Leadership: Mentor junior data engineers and team members, offering guidance on complex technical issues, while fostering a collaborative, knowledge-driven environment that encourages professional growth and technical excellence.

We are looking for an individual who:

Has a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent work experience). A Master’s degree is a plus.

With a minimum of 10 years of hands-on experience in a data support, data engineering, or data operations role, with significant exposure to large-scale data architectures and cloud-based solutions.

Has following technical skills:

o Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra).

o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving.

o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview).

o Deep understanding of data warehousing concepts and ETL/ELT methodologies, including hands-on experience with relevant tools and technologies (eg; Databricks)

o Proven track record of diagnosing complex issues within data processing workflows and optimizing data delivery and performance at scale.

Analytical & Problem-Solving Skills:

o Strong analytical abilities, with experience in identifying and solving highly complex data issues quickly and efficiently.

o Ability to assess business needs and translate them into technical solutions to enhance data workflows and analytics.

o Customer-oriented, ensuring data solutions align with business needs.

o Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

o Experience leading cross-functional teams and providing mentorship to junior engineers and technical staff.

At TCR Group, we're dedicated to revolutionizing the aviation industry by providing integrated solutions for Ground Support Equipment (GSE). Our comprehensive offerings include GSE rental, leasing, and maintenance services. With our headquarters located near Brussels and a team of approximately 1700 employees, we boast a global operational presence spanning over 200 airports across America, Europe, Asia Pacific, and the Middle East. Our relentless commitment to excellence has established us as a trusted partner for our customers worldwide.

Do you think we could be a match? We look forward to meeting you.

If you are passionate about data management, enjoy sharing your knowledge and expertise, and are ready to make an impact, then we invite you to apply for this amazing job.

Please note: We kindly request that agencies and recruiters refrain from contacting us regarding this job posting

#J-18808-Ljbffr

We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate with data engineers, analysts, and IT teams to optimize data pipelines, and resolve integration and performance challenges. You will play a key role in ensuring data quality and supporting data-driven decision-making while leveraging your expertise in cloud and on-premises technologies.

A snapshot of what you will be doing here

Advanced Troubleshooting & Optimization : Diagnose and resolve complex data integration and processing issues, troubleshoot performance bottlenecks, and ensure high availability of critical data services with minimal downtime.

Data Pipeline Management & Optimization : Oversee and optimize data pipelines (ETL/ELT) across on-premise and cloud environments, ensuring seamless data flow while proactively enhancing data throughput, scalability, and resource efficiency.

Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices.

Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures, and performance issues and leverage advanced scripting and orchestration tools (e.g., Python, Bash, Apache Airflow) to automate workflows and reduce operational overhead.

Root Cause Analysis & Incident Management: Lead post-incident reviews, perform root cause analysis for data disruptions, and implement corrective actions, while creating detailed reports and documentation to drive continuous improvement.

Documentation & Knowledge Sharing: Create detailed technical documentation for data systems, workflows, and troubleshooting procedures, while developing knowledge-sharing resources to ensure best practices are consistently applied across the organization.

Mentorship & Leadership: Mentor junior data engineers and team members, offering guidance on complex technical issues, while fostering a collaborative, knowledge-driven environment that encourages professional growth and technical excellence.

We are looking for an individual who:

Has a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent work experience). A Master’s degree is a plus.

With a minimum of 10 years of hands-on experience in a data support, data engineering, or data operations role, with significant exposure to large-scale data architectures and cloud-based solutions.

Has following technical skills:

o Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra).

o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving.

o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview).

o Deep understanding of data warehousing concepts and ETL/ELT methodologies, including hands-on experience with relevant tools and technologies (eg; Databricks)

o Proven track record of diagnosing complex issues within data processing workflows and optimizing data delivery and performance at scale.

Analytical & Problem-Solving Skills:

o Strong analytical abilities, with experience in identifying and solving highly complex data issues quickly and efficiently.

o Ability to assess business needs and translate them into technical solutions to enhance data workflows and analytics.

o Customer-oriented, ensuring data solutions align with business needs.

o Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

o Experience leading cross-functional teams and providing mentorship to junior engineers and technical staff.

At TCR Group, we're dedicated to revolutionizing the aviation industry by providing integrated solutions for Ground Support Equipment (GSE). Our comprehensive offerings include GSE rental, leasing, and maintenance services. With our headquarters located near Brussels and a team of approximately 1700 employees, we boast a global operational presence spanning over 200 airports across America, Europe, Asia Pacific, and the Middle East. Our relentless commitment to excellence has established us as a trusted partner for our customers worldwide.

Do you think we could be a match? We look forward to meeting you.

If you are passionate about data management, enjoy sharing your knowledge and expertise, and are ready to make an impact, then we invite you to apply for this amazing job.

Please note: We kindly request that agencies and recruiters refrain from contacting us regarding this job posting

TCR is worldwide leader of rental and
maintenance of aviation Ground Support
Equipment (GSE).

#J-18808-Ljbffr

We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate with data engineers, analysts, and IT teams to optimize data pipelines, and resolve integration and performance challenges. You will play a key role in ensuring data quality and supporting data-driven decision-making while leveraging your expertise in cloud and on-premises technologies. A snapshot of what you will be doing here Advanced Troubleshooting & Optimization : Diagnose and resolve complex data integration and processing issues, troubleshoot performance bottlenecks, and ensure high availability of critical data services with minimal downtime. Data Pipeline Management & Optimization : Oversee and optimize data pipelines (ETL/ELT) across on-premise and cloud environments, ensuring seamless data flow while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise:

Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring:

Implement and support automated monitoring systems to detect data anomalies, system failures, and performance issues and leverage advanced scripting and orchestration tools (e.g., Python, Bash, Apache Airflow) to automate workflows and reduce operational overhead. Root Cause Analysis & Incident Management:

Lead post-incident reviews, perform root cause analysis for data disruptions, and implement corrective actions, while creating detailed reports and documentation to drive continuous improvement. Documentation & Knowledge Sharing:

Create detailed technical documentation for data systems, workflows, and troubleshooting procedures, while developing knowledge-sharing resources to ensure best practices are consistently applied across the organization. Mentorship & Leadership:

Mentor junior data engineers and team members, offering guidance on complex technical issues, while fostering a collaborative, knowledge-driven environment that encourages professional growth and technical excellence. We are looking for an individual who: Has a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent work experience). A Master’s degree is a plus. With a minimum of 10 years of hands-on experience in a data support, data engineering, or data operations role, with significant exposure to large-scale data architectures and cloud-based solutions. Has following technical skills: o Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep understanding of data warehousing concepts and ETL/ELT methodologies, including hands-on experience with relevant tools and technologies (eg; Databricks) o Proven track record of diagnosing complex issues within data processing workflows and optimizing data delivery and performance at scale. Analytical & Problem-Solving Skills: o Strong analytical abilities, with experience in identifying and solving highly complex data issues quickly and efficiently. o Ability to assess business needs and translate them into technical solutions to enhance data workflows and analytics. o Customer-oriented, ensuring data solutions align with business needs. o Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. o Experience leading cross-functional teams and providing mentorship to junior engineers and technical staff. At TCR Group, we're dedicated to revolutionizing the aviation industry by providing integrated solutions for Ground Support Equipment (GSE). Our comprehensive offerings include GSE rental, leasing, and maintenance services. With our headquarters located near Brussels and a team of approximately 1700 employees, we boast a global operational presence spanning over 200 airports across America, Europe, Asia Pacific, and the Middle East. Our relentless commitment to excellence has established us as a trusted partner for our customers worldwide. Do you think we could be a match? We look forward to meeting you. If you are passionate about data management, enjoy sharing your knowledge and expertise, and are ready to make an impact, then we invite you to apply for this amazing job. Please note: We kindly request that agencies and recruiters refrain from contacting us regarding this job posting

TCR is worldwide leader of rental and maintenance of aviation Ground Support Equipment (GSE). London Heathrow Airport Unit 1, Building 16265 Exeter Way Hatton Cross Hounslow Middlesex TW6 2UA

#J-18808-Ljbffr

We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate with data engineers, analysts, and IT teams to optimize data pipelines, and resolve integration and performance challenges. You will play a key role in ensuring data quality and supporting data-driven decision-making while leveraging your expertise in cloud and on-premises technologies. A snapshot of what you will be doing here Advanced Troubleshooting & Optimization : Diagnose and resolve complex data integration and processing issues, troubleshoot performance bottlenecks, and ensure high availability of critical data services with minimal downtime. Data Pipeline Management & Optimization : Oversee and optimize data pipelines (ETL/ELT) across on-premise and cloud environments, ensuring seamless data flow while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise:

Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring:

Implement and support automated monitoring systems to detect data anomalies, system failures, and performance issues and leverage advanced scripting and orchestration tools (e.g., Python, Bash, Apache Airflow) to automate workflows and reduce operational overhead. Root Cause Analysis & Incident Management:

Lead post-incident reviews, perform root cause analysis for data disruptions, and implement corrective actions, while creating detailed reports and documentation to drive continuous improvement. Documentation & Knowledge Sharing:

Create detailed technical documentation for data systems, workflows, and troubleshooting procedures, while developing knowledge-sharing resources to ensure best practices are consistently applied across the organization. Mentorship & Leadership:

Mentor junior data engineers and team members, offering guidance on complex technical issues, while fostering a collaborative, knowledge-driven environment that encourages professional growth and technical excellence. We are looking for an individual who: Has a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent work experience). A Master’s degree is a plus. With a minimum of 10 years of hands-on experience in a data support, data engineering, or data operations role, with significant exposure to large-scale data architectures and cloud-based solutions. Has following technical skills: o Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep understanding of data warehousing concepts and ETL/ELT methodologies, including hands-on experience with relevant tools and technologies (eg; Databricks) o Proven track record of diagnosing complex issues within data processing workflows and optimizing data delivery and performance at scale. Analytical & Problem-Solving Skills: o Strong analytical abilities, with experience in identifying and solving highly complex data issues quickly and efficiently. o Ability to assess business needs and translate them into technical solutions to enhance data workflows and analytics. o Customer-oriented, ensuring data solutions align with business needs. o Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. o Experience leading cross-functional teams and providing mentorship to junior engineers and technical staff. At TCR Group, we're dedicated to revolutionizing the aviation industry by providing integrated solutions for Ground Support Equipment (GSE). Our comprehensive offerings include GSE rental, leasing, and maintenance services. With our headquarters located near Brussels and a team of approximately 1700 employees, we boast a global operational presence spanning over 200 airports across America, Europe, Asia Pacific, and the Middle East. Our relentless commitment to excellence has established us as a trusted partner for our customers worldwide. Do you think we could be a match? We look forward to meeting you. If you are passionate about data management, enjoy sharing your knowledge and expertise, and are ready to make an impact, then we invite you to apply for this amazing job. Please note: We kindly request that agencies and recruiters refrain from contacting us regarding this job posting

TCR is worldwide leader of rental and maintenance of aviation Ground Support Equipment (GSE).

#J-18808-Ljbffr

We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate with data engineers, analysts, and IT teams to optimize data pipelines, and resolve integration and performance challenges. You will play a key role in ensuring data quality and supporting data-driven decision-making while leveraging your expertise in cloud and on-premises technologies. A snapshot of what you will be doing here Advanced Troubleshooting & Optimization : Diagnose and resolve complex data integration and processing issues, troubleshoot performance bottlenecks, and ensure high availability of critical data services with minimal downtime. Data Pipeline Management & Optimization : Oversee and optimize data pipelines (ETL/ELT) across on-premise and cloud environments, ensuring seamless data flow while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise:

Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring:

Implement and support automated monitoring systems to detect data anomalies, system failures, and performance issues and leverage advanced scripting and orchestration tools (e.g., Python, Bash, Apache Airflow) to automate workflows and reduce operational overhead. Root Cause Analysis & Incident Management:

Lead post-incident reviews, perform root cause analysis for data disruptions, and implement corrective actions, while creating detailed reports and documentation to drive continuous improvement. Documentation & Knowledge Sharing:

Create detailed technical documentation for data systems, workflows, and troubleshooting procedures, while developing knowledge-sharing resources to ensure best practices are consistently applied across the organization. Mentorship & Leadership:

Mentor junior data engineers and team members, offering guidance on complex technical issues, while fostering a collaborative, knowledge-driven environment that encourages professional growth and technical excellence. We are looking for an individual who: Has a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent work experience). A Master’s degree is a plus. With a minimum of 10 years of hands-on experience in a data support, data engineering, or data operations role, with significant exposure to large-scale data architectures and cloud-based solutions. Has following technical skills: o Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep understanding of data warehousing concepts and ETL/ELT methodologies, including hands-on experience with relevant tools and technologies (eg; Databricks) o Proven track record of diagnosing complex issues within data processing workflows and optimizing data delivery and performance at scale. Analytical & Problem-Solving Skills: o Strong analytical abilities, with experience in identifying and solving highly complex data issues quickly and efficiently. o Ability to assess business needs and translate them into technical solutions to enhance data workflows and analytics. o Customer-oriented, ensuring data solutions align with business needs. o Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. o Experience leading cross-functional teams and providing mentorship to junior engineers and technical staff. At TCR Group, we're dedicated to revolutionizing the aviation industry by providing integrated solutions for Ground Support Equipment (GSE). Our comprehensive offerings include GSE rental, leasing, and maintenance services. With our headquarters located near Brussels and a team of approximately 1700 employees, we boast a global operational presence spanning over 200 airports across America, Europe, Asia Pacific, and the Middle East. Our relentless commitment to excellence has established us as a trusted partner for our customers worldwide. Do you think we could be a match? We look forward to meeting you. If you are passionate about data management, enjoy sharing your knowledge and expertise, and are ready to make an impact, then we invite you to apply for this amazing job. Please note: We kindly request that agencies and recruiters refrain from contacting us regarding this job posting

#J-18808-Ljbffr

About the job (A) System Engineer (Voice Data Support)

Job Title: System Engineer Voice Data Support (for Alor Setar, KK, Sabah)

- Voice & Data

Job Description

Responsibilities:

1. Deployment, installation, testing, and commissioning of systems and parts at customer premises.
2. Perform preventive and corrective maintenance.
3. Diagnose and troubleshoot system & network issues, resolving hardware or software faults.
4. Analyze, follow-up, and resolve support inquiries from customers and vendors.
5. Collaborate with the team to identify, troubleshoot, and resolve technical problems.
6. Maintain, improve, and share technical knowledge; explore new technologies with the team.
7. Provide telephone and remote support.
8. Conduct user and technical training, where applicable.
9. Prioritize and manage multiple open cases.
10. Establish good working relationships with customers.
11. Work outside normal hours or weekends occasionally to support 24x7 operations.

Requirements:

• Own transportation is mandatory.
• Extensive travelling within Malaysia is required.
• Diploma or university degree in Computer Science, IT, or equivalent.
• Strong technical knowledge in telecommunication and computer infrastructure.
• Independent, proactive, passionate about technical skills, results-oriented, and eager to succeed.
• Good communication skills in English or Bahasa Malaysia.
• Interpersonal skills, self-motivated, customer-focused, outgoing, and analytical.
• Strong problem-solving skills.
• Fresh graduates are encouraged to apply.
• Malaysian citizens only.

Additional details:

• Job Type: Permanent or Contract
• Locations: HQ Kuala Lumpur, Alor Setar, KK, Sabah
• Salary Range: RM2,500.00 to RM4,000.00

Q&A

• Open for fresh graduates? (Yes, experience in technical field preferred, but fresh graduates can also apply)
• Open race? (Male only with own transport)
• Candidate training in KL? (Yes, at least 1 month)

#J-18808-Ljbffr

About the job (A) System Engineer (Voice Data Support)

Job Title: System Engineer Voice Data Support (for Alor Setar, KK, Sabah)

- Voice & Data

Job Description

Responsibilities:

1. Deployment, installation, testing, and commissioning of systems and parts at customer premises.
2. Perform preventive and corrective maintenance.
3. Diagnose and troubleshoot system & network issues, resolving hardware or software faults.
4. Analyze, follow-up, and resolve support inquiries from customers and vendors.
5. Collaborate with the team to identify, troubleshoot, and resolve technical problems.
6. Maintain, improve, and share technical knowledge; explore new technologies with the team.
7. Provide telephone and remote support.
8. Conduct user and technical training, where applicable.
9. Prioritize and manage multiple open cases.
10. Establish good working relationships with customers.
11. Work outside normal hours or weekends occasionally to support 24x7 operations.

Requirements:

• Own transportation is mandatory.
• Extensive travelling within Malaysia is required.
• Diploma or university degree in Computer Science, IT, or equivalent.
• Strong technical knowledge in telecommunication and computer infrastructure.
• Independent, proactive, passionate about technical skills, results-oriented, and eager to succeed.
• Good communication skills in English or Bahasa Malaysia.
• Interpersonal skills, self-motivated, customer-focused, outgoing, and analytical.
• Strong problem-solving skills.
• Fresh graduates are encouraged to apply.
• Malaysian citizens only.

Additional details:

• Job Type: Permanent or Contract
• Locations: HQ Kuala Lumpur, Alor Setar, KK, Sabah
• Salary Range: RM2,500.00 to RM4,000.00

Q&A

• Open for fresh graduates? (Yes, experience in technical field preferred, but fresh graduates can also apply)
• Open race? (Male only with own transport)
• Candidate training in KL? (Yes, at least 1 month)

#J-18808-Ljbffr

Job Responsibilities:

1. Provide application support to various business users. Attend to business queries and business requests promptly. Follow through the business requests to a proper closure.
2. Work on timely resolution for reported incidents to meet service level targets. Incidents include failures & queries reported by business users and technical staff; event alerts automatically detected and reported by the event monitoring tool.
3. Perform root cause analysis to identify permanent solutions to prevent recurring incidents and minimize the impact of incidents that cannot be prevented.
4. Ensure all incidents and problems are proactively managed – prioritizing numerous issues of varying severity and escalating issues as appropriate to necessary teams and management.
5. Collaborate with the development team in identifying resolutions and transitioning releases into the production environment.
6. Adopt standard Incident and Problem Management workflow and processes, i.e., timely ticket, defect, and incidents logging including proper change management processes and quality issue/impacts emails.
7. Participate in DR/BCM activities or infrastructure-related upgrades.
8. Responsible for capacity management. Monitor & analyze current performance and capacity data and forecast the capacity required by the applications ahead.
9. Aside from day-to-day support duties, there will be requirements to undertake other responsibilities such as management reporting & other centrally driven project initiatives as needed.

Job Requirements:

1. Degree in computer science/engineering or related disciplines.
2. At least 5 years of experience in application development and support environment in Banking Finance, ETL, or Data warehouse.
3. Individual must have working experience in Unix/Windows platforms, batch scheduling tools, Database query skills, and BI Tools skillsets.
4. Mandatory Technical skills: Oracle / MS SQL, Unix/Linux, AS400, Control-M, Shell scripting, Informatica, Hadoop, OneSumX, Hyperion, BASEL, Cloudera Big Data, Teradata.
5. Knowledge of ITIL or a similar framework will be an advantage.
6. Excellent communication, interpersonal, and analytical skills.

#J-18808-Ljbffr

Job Responsibilities: Provide application support to various business users. Attend to business queries and business requests promptly. Follow through the business requests to a proper closure. Work on timely resolution for reported incidents to meet service level targets. Incidents include failures & queries reported by business users and technical staff; event alerts automatically detected and reported by the event monitoring tool. Perform root cause analysis to identify permanent solutions to prevent recurring incidents and minimize the impact of incidents that cannot be prevented. Ensure all incidents and problems are proactively managed – prioritizing numerous issues of varying severity and escalating issues as appropriate to necessary teams and management. Collaborate with the development team in identifying resolutions and transitioning releases into the production environment. Adopt standard Incident and Problem Management workflow and processes, i.e., timely ticket, defect, and incidents logging including proper change management processes and quality issue/impacts emails. Participate in DR/BCM activities or infrastructure-related upgrades. Responsible for capacity management. Monitor & analyze current performance and capacity data and forecast the capacity required by the applications ahead. Aside from day-to-day support duties, there will be requirements to undertake other responsibilities such as management reporting & other centrally driven project initiatives as needed. Job Requirements: Degree in computer science/engineering or related disciplines. At least 5 years of experience in application development and support environment in Banking Finance, ETL, or Data warehouse. Individual must have working experience in Unix/Windows platforms, batch scheduling tools, Database query skills, and BI Tools skillsets. Mandatory Technical skills: Oracle / MS SQL, Unix/Linux, AS400, Control-M, Shell scripting, Informatica, Hadoop, OneSumX, Hyperion, BASEL, Cloudera Big Data, Teradata. Knowledge of ITIL or a similar framework will be an advantage. Excellent communication, interpersonal, and analytical skills.

#J-18808-Ljbffr