Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Grid Dynamics Holdings, Inc

Senior QA Engineer Data Quality (AQA)

Career Insights for Product Quality Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on California data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Product Quality Engineer evaluates and tests products and manufacturing systems, to ensure that products are produced that meet quality and performance standards as well as safety and regulatory requirements. Develops product quality standards and monitors production and product testing.

$106,540 / year median in California

+6% projected growth

Explore Career

Job Description

We're looking for a Senior QA Engineer specializing in Data Quality to join a team driving one of the largest data landscape consolidations for a global consumer goods leader. If you're passionate about data validation and love working across the full stack, from raw data ingestion to enterprise-grade lakehouse platforms, this role is for you. Essential functions Validate that data has been migrated correctly into the Enterprise Data Foundation's (EDF) bronze and silver layers Design and execute end-to-end (E2E) integration tests covering applications rewired to feed from the EDF Design and implement unit and functional tests for Data Quality (DQ) rules Provide hands-on deployment support during User Acceptance Testing (UAT) Support Root Cause Analysis (RCA) on data quality issues and contribute to remediation plans Learn and adopt new tools and platforms quickly (e.g., Databricks Unity Catalog, Informatica Governance, Informatica Data Quality) Contribute to and evolve the team's data quality testing standards and frameworks Qualifications Strong hands-on experience as a Data Quality Engineer, QA/AQA Engineer or Data Test Engineer Solid experience writing automated tests and validation scripts using Python Strong SQL and data reconciliation/validation experience Experience designing test cases, test strategies and DQ rule testing (unit and functional) Prior experience providing deployment support during UAT Solid understanding of structured SDLC and test methodologies Advanced English — written and spoken Would be a plus Experience with large-scale data migration or data lake projects Familiarity with Databricks Unity Catalog or similar lakehouse platforms Familiarity with Informatica Data Quality (IDQ) or similar DQ/governance tooling Exposure to structured table formats — Parquet, Iceberg, Hudi or Delta Lake Experience performing RCA on data quality issues and driving remediation plans 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 , supported by profound expertise and ongoing investment in , , , and . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.