Description

You will validate complex data pipelines, manage data migration testing, and maintain cloud automation frameworks.

Responsibilities

• Develop and maintain cloud automation frameworks using PySpark.
• Perform data migration testing and validate data warehouse concepts.
• Test ETL processes using tools like Informatica or DataStage.
• Validate data integrity across SQL, NoSQL, and various file formats.

Required Skills

• 5+ years of experience in ETL testing and data validation.
• Strong proficiency in core Python and object-oriented programming.
• Advanced knowledge of SQL and relational databases.
• Hands-on experience with Pandas and NumPy libraries.
• Experience handling XML, fixed length, and multi-segmented clustered/un-clustered files.
• Practical knowledge of Hadoop ecosystems.
• Experience working with complex data sources including NoSQL databases.

Bachelor's degree in any discipline.

Key Skills

Education

Any Gradute