ETL Python Data Tester
2 weeks ago
Key Responsibilities:
- Design, develop, and execute test cases for ETL pipelines and data integration workflows.
- Perform data validation, data reconciliation, and data quality checks across multiple source and target systems.
- Develop automated Python scripts for ETL/data pipeline testing.
- Write and execute complex SQL queries to verify data accuracy and integrity.
- Collaborate with Data Engineers, Developers, and Business Analysts to understand requirements and define test strategies.
- Perform regression, functional, and performance testing on ETL processes.
- Identify, document, and track defects using industry-standard defect management tools (e.g., JIRA, ALM).
- Ensure adherence to data governance, compliance, and security standards during testing.
- Contribute to continuous improvement of testing processes and automation frameworks.
Required Skills:
- Strong expertise in Python (automation, scripting, data validation).
- Hands-on experience with ETL testing and data warehouse testing.
- Proficiency in SQL (joins, aggregations, stored procedures, complex queries).
- Experience in testing tools like PyTest, PySpark, or custom frameworks.
- Familiarity with ETL tools such as Informatica, Talend, DataStage, SSIS, or AWS Glue (any).
- Good understanding of data warehouse concepts (Star/Snowflake schema, fact/dimension tables, etc.).
- Experience working with big data platforms (Hadoop, Spark, Hive, etc.) is an added advantage.
- Knowledge of cloud platforms (AWS/Azure/GCP) is a plus.
- Strong analytical, debugging, and problem-solving skills.
Qualifications:
- Bachelors degree in Computer Science, Information Technology, or related field.
- 3–7 years of proven experience in ETL/Data Testing.
- Experience in automation frameworks and CI/CD pipelines is preferred.
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