Senior Data Engineer

Gentis Solutions is seeking a Senior Data Engineer to join our team. This contract-to-hire position is with one of our Fortune 50 clients interested in full-time consultants. The ideal candidates will have the required skills listed below and will be eligible and open to being hired by our client at the end of the project's duration. This position works alongside an existing team and leverages enterprise-level technologies and processes. If you would like to work at a company that has been recognized for its diversity and inclusion, its work to drive positive social change, and as an environmental leader, make sure you apply below.

Requirements

• Data Manipulation (DBX, Spark, SQL) experience

Typical Duties

• Accountable for developing and delivering technological responses to targeted business outcomes
• Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for Supply Chain and the overall enterprise
• Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed
• Create and leverage Databricks notebooks to source, shape and store data using SQL, Python, PySpark
• Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
• Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51
• Define high-level migration plans to address the gaps between the current and future state
• Analyze technology environments to detect critical deficiencies and recommend solutions for improvement
• Promote the reuse of data assets, including the management of the data catalog for reference