Senior QA Engineer (Java and Spark SQL)

Grid Dynamics โ€” Armenia ยท Posted ~2 days ago

Senior

Skills

Java QA Engineering Test Automation SQL Spark SQL Data Validation API Testing Database Testing Hadoop Airflow

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Summary

Join a quality engineering team ensuring reliability of large-scale applications and data pipelines. You will design test strategies, validate complex datasets, and collaborate with developers on high-impact systems.

Highlights

Opportunity to work on advanced data-focused projects with professional development opportunities, flexible work options, and a collaborative engineering environment.

Description

We're looking for a Senior QA Java Engineer with strong Spark SQL skills to join a team working at the intersection of Java-based systems and big data/analytics. This role is ideal for a quality-focused engineer with strong technical depth in both traditional QA/test engineering and data validation across large-scale data pipelines. You'll play a key role in ensuring the reliability and correctness of systems that combine Java-based applications with big data technologies like Spark and Hadoop. Responsibilities Design, execute, and maintain test strategies for Java-based applications and data pipelinesValidate data integrity and correctness across large-scale datasets using strong SQL and Spark SQL skillsWrite and execute complex queries involving aggregations to verify data outputsCollaborate with engineering teams to identify, document, and resolve quality issuesParticipate in requirements gathering and translate business needs into test scenariosSupport database migration validation and API response testing as neededBe available for occasional late-hour meetings to coordinate with distributed/global teams Requirements Good proficiency in Java (or basic Scala with a strong Java background)Significant experience in Quality/Test EngineeringStrong skills in querying and understanding databasesStrong Spark SQL skills, including working with aggregatesTheoretical knowledge of the Hadoop tech stackTheoretical knowledge of Spark and Apache Airflow Nice to have Willingness to join late-night meetings occasionally (not a regular requirement)Familiarity with database migration tasks and validating API responsesGeneral familiarity with Airflow and SparkPractical (hands-on) experience with the Hadoop tech stackUI testing skillset (bonus) We offer Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunitiesWell-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.