
ETL Data Tester
1 day ago
Below is the JD.
We are seeking a highly skilled ETL Data Tester with strong experience in ETL testing, Data Warehousing, and automation using Python. The ideal candidate should also have hands-on expertise in Cloud Data platforms (AWS/Azure) with exposure to Glue, Redshift, Synapse, or equivalent technologies. This role involves validating end-to-end data pipelines, ensuring data accuracy, quality, and performance across complex ETL processes.
Key Responsibilities
- Perform ETL testing for data pipelines, staging, transformation, and target tables.
- Validate data extraction, transformation, and loading processes from multiple sources to Data Warehouse.
- Conduct data quality checks, reconciliation, and validation between source and target systems.
- Develop automation scripts using Python for data validation and regression testing.
- Work with AWS Glue, Redshift (or Azure Synapse/ADF) to test and validate cloud data pipelines.
- Analyze and debug ETL jobs, identify root causes of failures, and validate performance.
- Collaborate with Data Engineers, Developers, and Business Analysts to understand data mapping and transformation logic.
- Write SQL queries for data validation, profiling, and reconciliation.
- Contribute to test strategy, test planning, and reporting for data migration and transformation projects.
- Support CI/CD pipeline integration for automated data quality testing.
Required Skills & Experience
- 4 + years of experience in ETL Testing & Data Warehouse Testing.
- Strong expertise in SQL (complex queries, joins, aggregations, validations).
- Proficiency in Python scripting for test automation, data parsing, and validation.
- Hands-on experience in AWS services (Glue, Redshift, S3, Lambda, Athena) or Azure (Data Factory, Synapse, Databricks).
- Experience in Data Lake, Data Warehousing concepts, and Big Data testing.
- Strong knowledge of ETL tools (Informatica, Talend, Glue, ADF, etc.).
- Familiarity with CI/CD pipelines (Jenkins, Git, etc.) for test automation integration.
- Knowledge of Agile/Scrum methodologies and experience working in data-centric projects.
Good to Have
- Exposure to PySpark or Pandas for data validation.
- Experience in performance testing of ETL jobs.
- Knowledge of data governance and data quality frameworks.
- Cloud certification in AWS/Azure/GCP.
Education
- Bachelors/masters degree in computer science, Information Technology, or related field.
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