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 : 3 + YearsStrong hands-on experience in ETL automation and Data Warehouse / Data Lake testingProficient in SQL for data validation and test automationGood knowledge of Python for scripting and framework developmentExperience with one or more Test Automation FrameworksExposure to Cloud Data Services across major platformsAzure (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 methodologiesNice to have
Experience working with data observability or data quality tools (e.g., Great Expectations, Deequ)Basic understanding of data governance and metadata management conceptsCertification in cloud platforms (Azure / AWS / GCP) is a plusSkills Required
Sql, AWS Glue, Python, Data Warehouse Testing, Jenkins, Git, Azure Devops