Job description

Job Title: Azure Data Engineer Location: Raleigh, NC (3 Days Hybrid) Job Type: Full-Time Job Description We are seeking a highly skilled Azure Data Engineer to join our data engineering team in Minneapolis, MN. This hybrid role requires collaborating with cross-functional teams to build scalable data pipelines and deploy robust Azure-based data solutions. The ideal candidate will have strong experience in Azure Data Factory, Databricks, and Azure Data Lake, with proven ability to build and optimize real-time and batch data pipelines. Responsibilities • Build large-scale batch and real-time data pipelines using Azure cloud platform technologies. • Design and implement high-performance data ingestion pipelines from multiple structured and unstructured sources using Azure Databricks. • Lead the design and development of ETL, data integration, and migration solutions. • Develop scalable and reusable frameworks for ingestion, processing, and transformation of data sets. • Partner with data architects, analysts, engineers, and stakeholders to deploy enterprise-grade data platforms. • Integrate end-to-end data pipelines — from source systems to target data repositories — ensuring high data quality, reliability, and consistency. • Work with event-driven and streaming technologies for real-time data ingestion and processing. • Support related project components including API integrations and search services. • Evaluate tools and platforms based on performance and business requirements. Required Skills • Azure Data Factory • Azure Databricks • Azure Data Lake Storage (ADLS) • Azure SQL Database and Data Warehouse • Proven hands-on expertise in: • Implementing and optimizing Azure cloud data solutions • Performance tuning in the Databricks environment • SQL, T-SQL, and/or PL/SQL Working Knowledge Of • Azure Storage Accounts • Azure Data Catalog, Azure Data Analytics • Logic Apps and Function Apps • Familiarity with Agile methodology and tools like JIRA • Experience handling end-to-end data ingestion projects in an Azure environment is preferred Follow us on LinkedIn - https://www.linkedin.com/company/hyr-global-source-inc

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