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Senior Lead Data Engineer, GQRC Analytics (HYBRID)
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Full-time
- Key data sources are eSystems used within the Quality Management System such as Trackwise, onePLM, SLMS, Quickbase and QARAD. Primary tools used by the team include Azure Data Factory, Databricks, Azure Dev Ops and Power Platform.
- Self-managed execution of end-to-end data engineering projects from requirements gathering and documentation to ETL/ELT build and deployment and pipeline optimization.
- Manage the implementation, organization, and administration of the various data platforms (e.g. Azure, Microsoft Fabric, Databricks).
- Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science, or related field with applicable data engineering & architecture work experience.
- Proven record of managing end-to-end data engineering projects: from problem and requirements definition to architecture validation and deployment.
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