Develop and maintain robust data solutions for data generation, collection, and processing. This role focuses on constructing data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems. Continuous monitoring and optimization of data workflows are key to supporting organizational needs and enhancing data accessibility.

This position requires a proactive approach to problem-solving and a commitment to becoming a subject matter expert. Active participation in team discussions and contributions to solution development are expected.

- Design, develop, and maintain data pipelines and ETL processes. - Ensure data accuracy, completeness, and consistency across various sources. - Collaborate with cross-functional teams to understand and meet data requirements. - Monitor and troubleshoot data pipelines for reliable delivery. - Document processes and workflows to facilitate knowledge sharing. - Provide guidance and support to junior team members.

A strong foundation in Data Warehouse ETL Testing is essential. Candidates should possess a deep understanding of data integration techniques and ETL tools, coupled with experience in validating data accuracy and completeness. Familiarity with database technologies and query languages is necessary to support testing activities. The ability to analyze and resolve data discrepancies and pipeline failures is crucial. A background in data quality frameworks and best practices for data validation is also important.

This role requires a minimum of 2 years of relevant experience in Data Warehouse ETL Testing and a 15-year full-time education.