Senior Data Engineer: Build Scalable Cloud Pipelines

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 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.