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

Experience: 5.5 + Years
Strong hands-on experience in ETL automation and Data Warehouse/Data Lake testing
Proficient 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
Exposure to Cloud Data Services across major platforms
Azure (ADF, ADB)
AWS (Glue, Lambda, Redshift)
GCP (BigQuery)
Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps)
Familiarity with Agile/Scrum methodologies

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) is a plus

Senior Data Quality Engineer