Data Quality Engineer

We are seeking a highly skilled and detail-oriented Data Quality Engineer (Automation) to join our data engineering team.

The ideal candidate will have a strong background in ETL automation, data warehouse testing, and cloud data services, along with hands-on experience in test automation frameworks and CI/CD practices.

Responsibilities

• Design, develop, and execute automated test scripts for validating ETL workflows and data pipelines
• Perform end-to-end data validation, reconciliation, and DWH/DB testing across large datasets
• Collaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are met
• Develop reusable and scalable test automation frameworks using Python and SQL
• Integrate automated tests into CI/CD pipelines to ensure continuous testing and delivery
• Validate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP)
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story grooming

Requirements

• 3.5+ years of hands-on experience in Data Quality Engineering
• Strong hands-on experience in ETL automation and Data Warehouse/Data Lake testing
• Proficiency in SQL for data validation and test automation
• Good knowledge of Python for scripting and framework development
• Experience with one or more Test Automation Frameworks
• Knowledge of Cloud Data Services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), or GCP (BigQuery)
• Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps)
• Familiarity with Agile/Scrum methodologies with a proven ability to contribute effectively
• English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

• Experience working with data observability or data quality tools (e.g., Great Expectations, Deequ)
• Basic understanding of data governance and metadata management concepts
• Certification in cloud platforms (Azure/AWS/GCP)