Description

You will build and maintain scalable data pipelines for mission-critical finance applications.

This role is hybrid.

Responsibilities

• Design, build, and manage SQL-based ETL pipelines for finance systems.
• Leverage AutoSys or similar tools for job scheduling and orchestration.
• Collaborate with upstream data providers to troubleshoot delivery or schema issues.
• Translate complex data requirements into scalable engineering solutions.
• Identify and resolve pipeline performance bottlenecks to ensure data accuracy.

Required Skills

• 5+ years of experience in Data Engineering roles.
• Strong command over SQL and hands-on ETL development experience.
• Experience using AutoSys or comparable job control systems.
• Proven background supporting finance, banking, or enterprise tech environments.
• Ability to communicate clearly with technical and business stakeholders.
• Experience with CI/CD processes.

Preferred Skills

• Experience with Python or Apache Spark.
• Exposure to CI/CD and performance tuning of data workflows.

Key Skills

Education

Any Graduate