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Today, HME continues to innovate across multiple industries, delivering reliable, high-quality solutions that enable seamless connectivity and communication. HME values people beyond resumes, encouraging diverse ideas, collaboration, and a strong culture of quality, safety, and continuous improvement. As part of the HME GCC team, you will work with modern cloud technologies to solve complex data challenges in a manufacturing-focused environment.</p><p><strong>Job Summary:</strong></p><p>The Senior Software Data Engineer designs, builds, and maintains scalable enterprise data pipelines and platforms using Azure Data Lake and Databricks. This role is hands-on and</p><p>focuses on developing robust ETL pipelines, implementing Medallion Architecture and integrating data across ERP, CRM, PLM, and MES systems within a manufacturing</p><p>environment. The engineer collaborates closely with business and IT stakeholders, contributes to data engineering best practices, and is deeply involved in implementation and delivery.</p><p><strong>Essential Job Functions:</strong></p><ul><li>Designs, develops, and maintains data pipelines using Azure Data Lake and Databricks following Medallion Architecture best practices.</li><li>Builds and optimizes ETL pipelines for manufacturing data, ensuring data quality, consistency, and performance.</li><li>Integrates enterprise systems including ERP (Microsoft D365 preferred), CRM, PLM, and MES using Azure services and iPaaS platforms such as Boomi or Workato.</li><li>Collaborates with business and IT stakeholders to gather requirements and translate them into scalable data models.</li><li>Contributes to data engineering best practices including CI/CD, version control, automated testing, and documentation.</li><li>Monitors, troubleshoots, and supports data pipelines to ensure reliability, availability, and performance.</li><li>Supports analytics and reporting use cases by delivering clean, well-modeled, and reliable datasets.</li></ul><p><strong>Key Competencies:</strong></p><ul><li>Customer Driven – Demonstrates a strong commitment to quality service and customer- focused solutions.</li><li>Lean Thinking – Continuously seeks opportunities to eliminate waste and improve data processes.</li><li>Safety &amp; Quality – Maintains high standards for accuracy, reliability, and secure data handling.</li><li>Decision Making – Analyzes complex problems, gathers information, and makes sound technical decisions.</li><li>Managing Priorities – Effectively balances multiple responsibilities in a fast-paced environment.</li><li>Communication &amp; Teamwork – Communicates clearly and collaborates effectively across teams.</li></ul><p><strong>Qualifications:</strong></p><p><strong>Experience:</strong></p><ul><li>5+ years of experience in data engineering roles.</li><li>4+ years of hands-on experience with Azure and Databricks.</li><li>Proven experience implementing Medallion Architecture in Databricks.</li><li>Strong experience designing and developing ETL pipelines in manufacturing or ERP- driven environments.</li><li>Hands-on experience integrating ERP (Microsoft D365 preferred), CRM, PLM, or MES systems.</li><li>Strong proficiency in SQL, Python, Spark, and PySpark.</li><li>Experience with Azure services such as Data Factory, Synapse, Data Lake, and Key Vault.</li><li>Familiarity with iPaaS platforms such as Boomi or Workato.</li><li>Exposure to CI/CD practices and cloud security best practices.</li></ul><p><strong>Education:</strong></p><ul><li>Bachelor’s or master’s degree in computer science, Data Engineering, or a related field is required.</li></ul><p><strong>Travel:</strong></p><ul><li>Up to 10% travel may be required.</li></ul><p><strong>Physical Demands &amp; Work Environment</strong></p><p>The physical demands and work environment described are representative of those required to perform the essential functions of this job. 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