QA Engineer

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 get

Your 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.

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