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Quality Assurance Automation Engineer - Big Data Testing

SK HR SERVICES AND ENTERPRISES
Multiple Locations
4 - 6 Years

Posted on: 04/09/2025

Job Description

Experience : 4-6 Years

Job location : Pune, Bangalore and Gurgaon

Responsibilities :

- Develop and automate processes for gathering of expected results from data sources and comparing data results from testing.

- Assist with the development and maintenance of smoke, performance, functional, and regression tests to ensure code is functioning as designed.

- Work with the team to understand how changes in the DL affect maintenance of test scripts and the automated testing environments.

- Own the test automation framework and build appropriate test automation where needed.

- Write, monitor, execute, and evaluate application tests using industry standard automated testing tools.

- Set up data, tools, and databases to facilitate the testing process.

- Develop and maintain constructive working relationships within team and other functional teams

Skills & Experience :

- 4+ years of technical QA experience within Big Data Technologies

- 2-3 years of experience working on Automation framework

- Experience writing test code in Python, Pytest or Robot

- Strong SQL skills and use of big data cloud platforms

- Experience writing/maintaining automated tests for Big Data projects.

- Experience/knowledge working on Apache Spark.

- Knowledge of a BDD framework like Cucumber or SpecFlow

- Having excellent knowledge and experience of Data Testing Strategies

- Data validation, Process validation, Outcome validation, code coverage

- Execute automated Big Data Testing Tasks such as Pen testing, Architecture Testing, Migration Testing, Performance Testing, Security Testing, Visualization testing

- Automate Testing of Relational, Flat Files, XML, NoSQL, Cloud, and Big Data Sources

- Hands-on ETL Validator Testing Tool for automating the ETL/ELT validation

- Experience in test setup, software installations and pipelines in CI /CD environment

- Hands-on experience using monitoring tools like new relic, Grafana, etc


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