Description

You will own data quality and testing for ETL pipelines, Databricks/Spark platforms, and AI/ML models.

This role is on-site.

Responsibilities

• Execute end-to-end ETL and data testing to ensure pipeline accuracy and integrity.
• Validate Databricks and Spark-based data platforms for performance and correctness.
• Perform AI/ML model testing and MLOps validation to verify model outputs and deployment stability.
• Develop and maintain test automation scripts using Python and SQL.
• Conduct integration testing across data sources and downstream consumers.

Required Skills

• 6+ years of total experience in ETL and data testing.
• 3+ years of hands-on experience testing Databricks or Spark-based platforms.
• Strong coding proficiency in Python and SQL for test development.
• Proven experience in AI/ML model testing or MLOps validation.
• Experience with test automation frameworks and tools.
• Solid understanding of integration testing principles and data workflows.

Preferred Skills

• Experience with large-scale data warehousing and cloud data platforms.
• Familiarity with CI/CD pipelines for data and ML models.

Key Skills

Education

Any Gradute