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описание
Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations solve complex technical challenges and achieve business outcomes through data, analytics, cloud and DevOps, application modernization, and customer experience expertise.
задачи
Validate that data has been migrated correctly into the Enterprise Data Foundation's (EDF) bronze and silver layers;
Design and execute end-to-end integration tests for applications rewired to feed from the EDF;
Design and implement unit and functional tests for Data Quality 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, including Databricks Unity Catalog, Informatica Governance, and Informatica Data Quality;
Contribute to and evolve the team's data quality testing standards and frameworks.
требования
Strong hands-on experience as a Data Quality Engineer, QA/AQA Engineer, or Data Test Engineer;
Experience writing automated tests and validation scripts using Python;
Strong SQL and data reconciliation and validation experience;
Experience designing test cases, test strategies, and Data Quality rule testing;
Experience providing deployment support during UAT;
Solid understanding of structured SDLC and test methodologies;
Advanced English, written and spoken;
Nice to have: experience with large-scale data migration or data lake projects, familiarity with Databricks Unity Catalog or similar lakehouse platforms, familiarity with Informatica Data Quality or similar DQ/governance tooling, exposure to Parquet, Iceberg, Hudi, or Delta Lake, experience performing RCA on data quality issues and driving remediation plans.