Description

You will build and maintain data processing pipelines, migrating legacy SAS and Informatica systems to modern Python and AWS stacks.

This role is on-site.

Responsibilities

• Migrate existing systems built on SAS (M7) and Informatica (10.5.7) to modern technology stacks.
• Build and maintain data processing pipelines using Python.
• Integrate and manage data workflows leveraging PySpark 3.5 and AWS Services.
• Develop and implement automated testing frameworks using Behave, Cucumber, or PyTest.
• Implement code quality checks using SonarQube or equivalent scanning tools.

Required Skills

• 10+ years of professional experience.
• Expert proficiency in Python versions 3.9 and 3.11.
• Hands-on experience with PySpark 3.5.
• Proficiency with Postgres database; familiarity with DB2 is required for migration.
• Working knowledge of AWS Services.
• Experience with Kubernetes orchestration.
• Experience with testing automation frameworks (Behave, Cucumber, PyTest).

Key Skills

Education

Any Graduate