ETL Automation Tester
3 weeks ago
About the Role :
- We are seeking a highly skilled and experienced Senior ETL Automation Tester to join our Data Engineering team.
- As a Senior ETL Automation Tester, you will play a crucial role in ensuring the quality and reliability of our data pipelines by developing and executing robust automated tests.
- You will be responsible for validating the accuracy, completeness, and performance of data transformations and ensuring data integrity throughout the ETL process.
Key Responsibilities :
- Design, develop, and execute comprehensive test plans, test cases, and test scripts for ETL processes.
- Perform functional, regression, and performance testing of ETL pipelines.
- Validate data accuracy, completeness, and consistency across the entire data pipeline.
- Perform data profiling and quality checks to identify and address data anomalies.
- Develop and maintain automated test frameworks using appropriate testing tools.
- Integrate automated tests into the CI/CD pipeline.
- Analyze test results, identify and log defects, and track their resolution.
- Analyze source and target data to identify data quality issues and discrepancies.
- Perform root cause analysis of data quality problems and recommend corrective actions.
- Utilize SQL and other data analysis tools to validate data transformations and identify data inconsistencies.
- Strong understanding of ETL concepts, data warehousing principles, and data modeling.
- Experience with data warehousing architectures and data integration methodologies.
- Knowledge of data sources, data formats, and data transformation techniques.
- Collaborate effectively with data engineers, data analysts, and other stakeholders.
- Communicate test results and findings effectively to the team.
- Participate in Agile development methodologies (Scrum, Kanban) and contribute to team discussions.
Qualifications :
Essential :
- 5+ years of experience in ETL testing or a related data testing role.
- Strong proficiency in SQL and experience with relational databases (e.g., Redshift, MySQL).
- Experience with data warehousing concepts and ETL processes.
- Experience with data profiling and data quality analysis.
- Experience with test automation frameworks and tools.
- Experience with Agile methodologies and tools (e.g., Jira, Azure DevOps).
- Excellent analytical, problem-solving, and debugging skills.
- Strong communication and interpersonal skills.
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
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