Description

You will focus on ETL testing and data validation using Python and SQL.

Responsibilities

• Develop and maintain cloud automation frameworks using PySpark.
• Validate data integrity across SQL and NoSQL databases.
• Perform data migration testing and data warehouse validation.
• Test complex file formats including XML, fixed-length, and multi-segmented clustered or un-clustered files.
• Execute testing for ETL tools such as Informatica or DataStage.

Required Skills

• 5+ years of experience in ETL testing.
• Expertise in core Python and object-oriented programming.
• Proficiency with Pandas and NumPy libraries.
• Advanced knowledge of SQL.
• Experience handling diverse data sources including XML and fixed-length files.
• Hands-on experience with PySpark and cloud automation frameworks.
• Working knowledge of Hadoop and Data Warehouse concepts.
• Experience with SQL and NoSQL databases.
• Any Graduate degree.

Key Skills

Education

Any Graduate