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Data Engineer

Link ComplianceKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

14 days ago

Job description

My client is one of the leading digital banks in Malaysia.

Job Responsibilities :

Design, develop, and maintain reliable and scalable data pipelines using Apache Airflow.
Implement data ingestion, transformation, and validation processes in Python to support :
Loan collection tracking and reporting
Card payment settlement workflows
Merchant transaction analysis
Daily / periodic balance snapshot generation
Customer loyalty and rewards analytics
Collaborate closely with product managers, backend engineers, and analysts to ensure data pipelines align with business requirements.
Monitor, troubleshoot, and optimize data workflows to ensure high performance and reliability.
Enforce data quality standards and contribute to data governance processes.
Participate in code reviews and technical design discussions.
Optional) Enhance backend data services or processing logic using Java when applicable.
Stay informed of the latest trends in data engineering to continuously improve pipeline efficiency and robustness.

Job Requirements :

Proven experience as a Data Engineer in a production environment.

Strong expertise in Apache Airflow for workflow orchestration.

Proficiency in Python for data processing tasks.

Solid understanding of SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).

Familiarity with ETL / ELT best practices and data modeling concepts.

Experience working in agile, product-focused teams.

Ability to manage multiple pipelines and prioritize tasks effectively.

Data Engineer • Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia