QA Automation Engineer (Big Data)
We are seeking a skilled QA Automation Engineer to join a high-impact AI/ML team. In this role, you will play a critical part in ensuring the quality, reliability, and scalability of complex data pipelines that power next-generation search and recommendation features.
Essential functions
- Data Pipeline Testing: Design, develop, and execute robust test strategies for large-scale big data pipelines.
- Quality Assurance: Validate data integrity, transformation logic, and system performance within AI/ML ecosystems.
- Automation & Tools: Write clean, maintainable automation scripts to streamline testing processes and integrate them into CI/CD workflows.
- Collaboration: Partner closely with data scientists, ML engineers, and developers to identify edge cases and resolve bottlenecks early in the lifecycle.
Qualifications
- Big Data Expertise: Proven experience testing big data pipelines and working with Apache Spark.
- Database Skills: Strong proficiency in SQL for complex data querying, validation, and analysis.
- Programming Proficiency: Strong coding skills in at least one object-oriented or functional language (ideally Python, Scala, or Java).
- Communication: Excellent verbal and written English communication skills to collaborate effectively across cross-functional teams.
Would be a plus
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.