Sr Data Engineer

Sr Data Engineer Location: Northeast Ohio (Hybrid) Rate: Up to $75/hr The Opportunity: Emerald Resource Group is exclusively partnering with a Fortune 500-level Manufacturing & Technology Leader to identify a Senior Data Engineer. This organization operates globally and is currently investing heavily in a massive digital transformation to modernize how they utilize R&D and manufacturing data. This is a rare opportunity to join a stable, high-revenue enterprise environment where you will build the "data plumbing" that supports critical analytics for global operations. The Role: • Architect & Build: You will design and implement robust, scalable data pipelines using the Microsoft Azure stack, ensuring data flows seamlessly from legacy on-prem sources to the cloud. • Data Strategy: Partner with the Agile Data Project Manager to translate complex business requirements into technical data models. • Performance Tuning: Serve as the Subject Matter Expert (SME) for query optimization and database performance, handling massive datasets generated by global labs and factories. Responsibilities: • Develop and maintain ETL/ELT processes using Azure Data Factory (ADF) and Databricks. • Write advanced, high-efficiency SQL queries and stored procedures. • Design data lakes and data warehouses that support Power BI reporting and advanced analytics. • Collaborate with Data Scientists to prepare raw data for machine learning models. • Mentor junior engineers and ensure code quality through rigorous peer reviews. Requirements (Senior/Principal Level): • 8+ years of hands-on experience in Data Engineering or Database Development. • Deep expertise in the Azure Data Stack (Azure SQL, Azure Data Factory, Azure Synapse/Data Warehouse, Databricks). • Mastery of SQL (T-SQL) and experience with Python or Scala for data manipulation. • Proven experience migrating on-premise data (from ERPs like SAP) to the Cloud. Perfered: • Experience in Manufacturing or Process Industries (Chemical/Pharma). • Knowledge of SAP data structures (extracting data from SAP ECC or S/4HANA). • Familiarity with DevOps practices (CI/CD pipelines for data).