Big Data Tester

2 days ago


Multan, Punjab, Pakistan beBee Careers Full time

The purpose of this role is to have a QA Automation Expert who can participate in day-to-day QA activities like sprint calls and providing updates on the assigned tickets to improve knowledge in the relevant domain. With your abilities and skillset, create and identify the regression testing suite to remove manual effort from the existing QA Process. Identify tools to automate manual scenarios. Create test scripts and Regression / Automation Test plans to improve testing.

You need to be passionate enough to think & perform out of the box to add innovation to improve your daily tasks and work SMART (Specific, Measurable, Achievable, Relevant, and Time-bound).

Responsibilities:
  • Develop and automate processes for gathering 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 Data Lake 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 the team and other functional teams.
Requirements:
  • 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.
  • 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.
  • Highly technical with a keen eye for detail.
  • Driven, self-motivated, and results-oriented.
  • Confident with the ability to challenge if necessary.
  • Structured and organized.
  • Ability to work in a cross-functional, multi-cultural team and in a collaborative environment with minimal supervision.
  • Ability to multi-task and plan, organize, and prioritize multiple projects.


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