<p><strong>Position Summary </strong></p><p>We are seeking a skilled Data Engineer to design, implement, and maintain scalable data pipelines that support analytics and business intelligence initiatives. This role is critical to ensuring the availability, integrity, and quality of data across the organization. The ideal candidate will have a strong technical background in data engineering, excellent problem-solving abilities, and a collaborative mindset. You will be responsible for developing infrastructure for optimal data extraction, transformation, and loading (ETL) from various sources. This includes supporting cross-functional teams and maintaining high standards for data consistency and governance. </p><p><br></p><p><strong>Key Responsibilities: </strong></p><ul><li><strong></strong>Design and maintain scalable data pipelines using tools such as Azure Data Factory, Microsoft Fabric, PySpark, Spark SQL, and Python.</li><li>Develop solutions for integrating, processing, and analyzing large volumes of structured and unstructured data.</li><li>Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.</li><li>Optimize and troubleshoot data pipelines for performance and reliability.</li><li>Implement data governance and security best practices to ensure compliance and integrity.</li><li>Monitor and maintain data infrastructure for scalability and availability.</li><li>Stay current with advancements in data engineering and cloud technologies.</li><li>Manage the data platform roadmap, including capacity planning and optimization.</li><li>Work with IT operations and BI vendors to resolve production issues.</li><li>Prioritize and manage stakeholder reporting needs and requirements.</li><li>Maintain vendor relationships to support platform evolution and capability expansion.</li><li>Address data issues, trace lineage, and implement cleansing and quality processes.</li><li>Ensure secure access to data sets and effective collaboration across teams.</li><li>Manage project schedules, milestones, and tollgate reviews.</li><li>Promote data literacy across the organization.</li><li>Submit weekly progress reports and follow IT directives and compliance policies.</li></ul><p><br></p>

<p><strong>Required Qualifications:</strong></p><ul><li>BS or MS in Computer Science or related field.</li><li>8+ years of experience managing data infrastructure, including data warehouses and marts.</li><li>8+ years of experience with Power BI and SQL; NoSQL experience is a plus.</li><li>Proficiency in Azure Data Factory, PySpark, Spark SQL, and Python.</li><li>Strong understanding of data modeling, ETL, and warehousing concepts.</li><li>Experience with cloud platforms, especially Microsoft Azure.</li><li>Excellent problem-solving and communication skills.</li><li>Ability to manage and communicate data strategies to stakeholders.</li><li>Willingness to travel up to 10% during peak periods.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>5+ years of experience designing data models using enterprise tools on Azure.</li><li>Proven ability to assess and enhance system portfolios for performance.</li><li>Self-starter with a track record of leading pilots to production.</li><li>Independent thinker with strong decision-making skills.</li><li>Experience in developing presentation and data models for analytics.</li><li>Skilled in defining and developing data sets, models, and cubes.</li><li>Familiarity with Python, SQL, SSRS, SSAS, SSIS, Power BI, Power Query, and DAX.</li><li>Knowledge of Salesforce data structures is a plus.</li><li>Understanding of Agile methodologies.</li><li>Strong documentation and customer service skills.</li><li>Experience presenting to stakeholders.</li></ul>

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