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Grid Dynamics

Quality Engineer

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  • Posted 3 days ago
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Job Description

Total Experience - 5 Years and above

Location - Bangalore

Notice Period - 15 days

Key Responsibilities

  • Design, develop, and execute automated test solutions for Big Data platforms and data pipelines.
  • Validate data ingestion, transformation, processing, and storage across distributed systems.
  • Build and maintain scalable automation frameworks for functional, integration, regression, and end-to-end testing.
  • Develop automated data validation and reconciliation processes to ensure data quality and integrity.
  • Collaborate closely with Data Engineers, Software Engineers, Product Managers, and DevOps teams throughout the SDLC.
  • Perform API testing and backend validation for data services and microservices.
  • Execute performance, scalability, and reliability testing for large-scale data processing applications.
  • Analyze defects, identify root causes, and work with development teams to drive resolutions.
  • Integrate automated test suites into CI/CD pipelines to enable continuous testing.
  • Participate in code reviews and contribute to improving engineering quality practices.
  • Create and maintain test plans, test cases, and quality metrics dashboards.

Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.

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Job ID: 150671677

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