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Job Analysis:
The ETL & Data Quality Engineer role at Highbrow LLC is fundamentally focused on ensuring the integrity and quality of data across various platforms while developing scalable data pipelines. This position requires the candidate to design and implement Informatica IDQ rules and mappings, leveraging tools like Matillion for ETL processes involving Databricks and Snowflake. The expected challenges include navigating complex data integration tasks, addressing data quality issues promptly, and optimizing ETL jobs for performance. Success in this role will be reflected in the effective deployment of automated solutions and close collaboration with governance and engineering teams to maintain data lineage and compliance. The responsibilities imply a blend of technical expertise and strategic problem-solving capabilities, ensuring the candidate can address ambiguity while upholding data quality standards.
Company Analysis:
Highbrow LLC occupies a space at the intersection of technology and human resource management, focusing on maximizing the value of its clients' employees through innovative technological solutions. The company’s extensive experience, particularly over the last 15 years, suggests a solid foundation and a reputation for delivering on complex projects. This environment likely fosters a culture of collaboration and continuous improvement, reflecting a commitment to adapting to the rapid changes in technology and client needs. The ETL & Data Quality Engineer will fit within a technically savvy team, gaining visibility through cross-functional collaboration that informs strategic oversight. This role is integral to Highbrow’s mission of driving business value through effective data management, making it a critical position as the company pursues growth and operational efficiency in today’s data-centric landscape.