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.