ETL Data Testing (7-14 yrs)

Key Responsibilities :

- Select and integrate data tools and frameworks to provide requested capabilities.

- Provide technical guidance to software engineers in designing, coding, reviewing, and testing enterprise software.

- Collaborate with Data Scientists, Data Engineers, and Software Engineers to develop QA tests to validate data and models.

- Implement ETL processes.

- Monitor performance and recommend infrastructure changes as needed.

- Define data retention policies.

- Collaborate with the recruitment team for hiring.

Requirements :

- Experience creating detailed and comprehensive test suites using Python.

- Proficiency in writing complex SQL queries for data extraction or validation.

- Strong understanding of Big Data concepts and NoSQL databases (preferred).

- Expertise in writing Hive QL and Spark QL queries.

- Hands-on experience with data testing tools like DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.

- Good understanding of QE testing types for data quality.

- Experience in troubleshooting applications and managing the defect lifecycle.

- Ability to test software and complete UAT in an Agile environment.

- Expertise in continuous automation for increased test coverage and efficiency.

- Proactive and reactive support in deployments and production environments.

- Proficiency in Linux or Unix environments.