Description

You will ensure the quality and reliability of ETL processes and data integration workflows.

Responsibilities

• Design and implement automated tests to validate data transformation and migration.
• Collaborate with data engineers and developers to identify and resolve data quality issues.
• Develop automation frameworks and test cases to enhance data pipeline integrity.
• Provide testing oversight within an Agile team environment.

Required Skills

• 8+ years of IT experience.
• 5+ years of experience in ETL testing and automation framework development.
• Proficiency in Python or PySpark for scripting and automation.
• Strong SQL skills for data validation.
• Experience handling big data using ETL tools such as Informatica.
• Hands-on experience testing in AWS environments, specifically AWS S3 and Redshift.
• Experience working within a Big Data ecosystem and data lakehouse architectures.
• Practical knowledge of Test Automation and DevOps practices in ETL and Cloud contexts.

Preferred Skills

• Experience with Kafka and Shell scripting.
• Familiarity with DBT (Data Build Tool) or similar transformation tools.
• Healthcare domain experience.

Key Skills

Education

Any Graduate