Data Engineer

Strateq Group; Selangor; On-site; MYR 120,000 - 180,000; Full time

Job summary

Jora Malaysia seeks an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures that support BI and analytics. You'll work with cloud platforms, ensure data quality, and collaborate with cross-functional teams to enable data-driven decision making across the organization.

Responsibilities include data integration across systems, ETL/ELT processes, and troubleshooting complex data issues.

Qualifications

• 1–2 years of experience in a Data Engineer or similar role.
• Experience in cloud-based data integration and pipeline development.
• Hands-on experience with ETL/ELT tools such as AWS Glue, Azure Data Factory, Talend, or WebMethods.
• Proficient in SQL for data querying and manipulation.
• Experience with cloud data platforms like Microsoft Azure and Amazon S3.
• Strong problem-solving skills for troubleshooting data issues.
• Experience optimizing and automating data workflows.

Responsibilities

• Design, build, and maintain scalable data architectures and pipelines.
• Integrate data across systems, aligning with architecture standards.
• Develop and manage ETL/ELT processes within the Enterprise Data Hub.
• Troubleshoot data integration issues at multiple layers.
• Identify bottlenecks and lead optimization initiatives.
• Ensure data quality, reliability, and efficiency.
• Collaborate with cross-functional teams to support data-driven decisions.

Skills

Data integration

SQL proficiency

Problem solving

Automation

Tools

AWS Glue

Azure Data Factory

Talend

WebMethods

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The role focuses on ensuring reliable data integration, transformation, and accessibility across multiple platforms, including cloud environments, to support business intelligence and analytics initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data architectures and data pipelines based on business requirements
• Perform data integration across multiple systems and platforms, ensuring alignment with company architecture standards
• Develop and manage ETL/ELT processes across various data layers within the Enterprise Data Hub
• Troubleshoot and resolve data integration issues at application, infrastructure, and network levels
• Identify bottlenecks in existing data pipelines and lead initiatives to optimize and automate processes
• Ensure data quality, reliability, and efficiency through appropriate tools and programming techniques
• Ensure data lake architecture complies with approved organizational standards and best practices
• Collaborate with cross-functional teams to support data-driven decision-making

Requirements

• Minimum 1-2 years of experience in a Data Engineer or similar role
• Strong experience in data integration and pipeline development, including cloud-based solutions
• Hands-on experience with ETL/ELT tools such as AWS Glue, Azure Data Factory, Talend, or WebMethods
• Proficient in SQL for data querying and manipulation
• Experience working with cloud data platforms such as Microsoft Azure and Amazon S3
• Strong problem-solving skills with the ability to troubleshoot complex data issues
• Experience in optimizing and automating data workflows

Preferred Skills

• Experience working with enterprise-level data hubs or large-scale data platforms
• Familiarity with data governance and data architecture best practices
• Knowledge of scripting or programming languages for data processing (e.g., Python, Scala)