We’re looking for a Middle Data QA Engineer to help validate the transition from an operational reporting database to a scalable Databricks Lakehouse. You will focus on data warehousing, BI, advanced SQL, and ETL/ELT testing, ensuring that data remains accurate and consistent across ingestion, transformation, data marts, and reporting layers. Required for this role * 3+ years of QA experience in Data Warehousing, BI, reporting, or data engineering projects. * Strong SQL skills for complex querying, data reconciliation, and validation. * Experience testing Databricks, Azure Data Platform, Snowflake, Redshift, or an equivalent analytical platform. * Experience validating ETL/ELT pipelines, incremental data ingestion, and data transformations. * Familiarity with dbt testing, model validation, documentation, and data lineage concepts. * Experience validating reports in Logi Reports, Power BI, Tableau, SSRS, or a similar reporting platform. * Understanding of dimensional modeling, fact and dimension structures, and reporting-ready data marts. * Experience validating financial and operational reports, including calculations, aggregations, and business-critical metrics. * Knowledge of CI/CD testing practices and automated data quality frameworks, combined with strong analytical, troubleshooting, and communication skills. * Upper Intermediate English level.
Your responsibilities * Verify that structured data from approved read-only sources is ingested incrementally into Databricks without data loss or corruption. * Reconcile record counts, key financial metrics, and business-critical data across source systems, the Databricks Lakehouse, and reporting data marts. * Test dbt transformations, calculations, aggregations, and business rules to confirm that models produce accurate results. * Validate that reports generated from the new data marts match existing reporting outputs and agreed business expectations. * Assess data completeness, accuracy, consistency, uniqueness, and timeliness across ingestion, transformation, and reporting layers. * Verify that data pipelines, transformations, and reporting queries meet agreed performance and refresh-time SLAs. * Confirm that role-based access controls restrict datasets and reporting assets to authorized users. * Perform regression, migration, cutover, and parallel-run testing to ensure existing reporting functionality remains stable during the transition.
What you getYour time off * 18 paid vacation days and 10 paid sick days annually * 10 Ukrainian public holidays * Maternity and paternity leaves * Marriage and Parenthood Package * Additional leave for major life events * Sabbatical leave opportunities
Learning & growth * Sombra University workshops and internal learning programs * Tech Communities and knowledge sharing sessions * Language courses and workshops * Mentorship opportunities
Health & well-being * Sports compensation or health insurance coverage * Participation in races and marathons * Corporate doctor (telemedicine) * Well-being initiatives and workshops
And even more * Company-provided technical equipment * PE administration and tax support * Internal referral program * IT Club loyalty program * Company events and volunteering initiatives
Before you apply Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.
If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.
