Description

You will focus on automated data validation and testing within large-scale data environments.

Responsibilities

• Develop Python-based automation scripts for data validation tasks.
• Execute complex queries to verify data integrity across systems.
• Validate data workflows using ETL tools and frameworks.
• Monitor and analyze data logs using Splunk.

Required Skills

• 10+ years of experience in test automation or data engineering.
• Strong proficiency in Python for automation and data validation.
• Extensive experience with Hadoop and Hive.
• Hands-on experience with Splunk.
• Experience working with Hexadata.
• Expertise in writing and executing complex SQL queries.
• Experience with ETL tools.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Gradute