Data QA Engineer

We are looking for a Data QA Engineer to ensure accuracy, reliability, and quality across data pipelines and integrations. This role involves developing and executing testing strategies, building automation frameworks, and collaborating with Data Engineers, DevOps, and Analysts to deliver high-quality, production-ready data.

Requirements

• Responsibilities

  • Design and execute data testing strategies for ETL pipelines and transformations.

  • Perform end-to-end validation, including schema, business logic, and transformation checks.

  • Develop and maintain test automation for ETL, APIs, and integrations.

  • Monitor data pipelines, troubleshoot anomalies, and recommend solutions.

  • Collaborate with engineering, DevOps, and business teams on data quality improvements.

  • Implement validation checks using Azure Data Factory, Databricks, and Synapse.

  • Support CI/CD testing with Azure DevOps.

  • Ensure compliance with data governance and security policies

  Requirements

  • Bachelor’s in Computer Science, IT, or related field.

  • 4+ years of experience in Data QA, ETL testing, or pipeline validation.

  • Strong SQL skills for data validation.

  • Experience with Azure Data Factory, Synapse, Databricks, and SSIS.

  • Proficiency in Python or PowerShell for automation.

  • Familiarity with CI/CD pipelines (Azure DevOps preferred).

  • Knowledge of data warehousing and relational databases.

  • Strong analytical, problem-solving, and communication skills.

  • Advanced English (C1)