Data Engineer
October 7
Description
• Design, develop, document and maintain robust data pipelines and infrastructure utilizing a suite of Microsoft cloud and on-premises services including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. • Configure, document and maintain CI/CD pipelines. • Ensure the high standards of data quality, reliability, and scalability across diverse data sources and platforms to support strategic decision-making. • Actively collaborate with data analysts, data scientists, and business stakeholders to gather data requirements, and translate these into actionable data-driven solutions that align with business objectives. • Continuously optimize data pipelines and related processes for enhanced performance, efficiency, and cost-effectiveness, ensuring the best use of resources and technology.
Requirements
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • Proficiency in SQL and Python, with a solid foundation in coding best practices and design patterns. • Excellent communication, collaboration, and problem-solving skills. • Experience in working with Microsoft D365fo and D365ce. • Experience with the Microsoft Data Engineering suite (Azure Data Factory, Azure Synapse Analytics, Azure Data Fabric, Azure Data Bricks) • Experience in creating products within BI, Machine Learning Models, or other related functions.
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