
Big Data Automation QA
12 hours ago
- 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
Interested candidate can share their CVs on
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