Build and automate data validation and reconciliation tests for ETL pipelines and data warehouses. Write and optimize complex SQL, investigate data discrepancies, design ETL test strategies, and implement automated testing frameworks to ensure data integrity.
We are seeking a highly skilled and detail-oriented Software Development Engineer in Test (SDET) to join our team with a focus on data reconciliation, complex SQL, and ETL testing. The ideal candidate will have a unique blend of skills in software development, quality assurance, and data engineering. You will be responsible for ensuring data accuracy, validating ETL processes, and building automation frameworks for data-related testing processes. This is a key role to ensure the integrity and quality of our data infrastructure and analytics platforms.
Key Responsibilities:
- Complex SQL Queries:
- Write and optimize complex SQL queries to validate data pipelines, transformations, and reporting accuracy.
- Perform root cause analysis of data discrepancies and provide insights into data quality issues.
- Develop automated SQL scripts to streamline data validation and reconciliation processes.
- ETL Testing:
- Validate ETL processes by designing comprehensive test strategies to ensure data accuracy and completeness.
- Test and verify ETL pipelines from various data sources (structured and unstructured) into data warehouses, ensuring data conforms to business rules and logic.
- Implement automated ETL testing frameworks and continuously improve them to optimize the data validation process.
- Data Reconciliation:
- Develop, implement, and automate test scripts to validate data integrity between source and target systems.
- Identify and resolve data inconsistencies, mismatches, and errors in large datasets.
- Design and execute reconciliation processes to ensure accurate data migration and transformation.
Nice to have:
- Experience with HiveQL for Hive Database
- Experience with Python as a scripting language
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