Description

Build data validation and control frameworks to ensure completeness, accuracy, and integrity across pipeline stages.

This role is on-site.

Responsibilities

• Design and implement data quality frameworks using advanced PL/SQL and Python.
• Ensure data accuracy and integrity across all pipeline stages.
• Develop automated controls to validate data completeness.
• Collaborate with engineering teams to embed controls into data workflows.
• Maintain and optimize existing data control logic.

Required Skills

• 5+ years of experience in data engineering or controls.
• Advanced proficiency in PL/SQL.
• Strong expertise in Python for data processing.
• Proven experience building data quality and control frameworks.
• Ability to translate technical requirements into robust validation logic.
• Experience with data pipeline architecture.

Preferred Skills

• Exposure to AML data structures (not mandatory).

Key Skills

Education

Any Graduate