Job description

Overview As an Azure Data Engineer you can expect to… Design, build, and maintain data engineering solutions on Microsoft Azure and Fabric (Lakehouse, Warehouse, Data Factory, Synapse Analytics, Dataflows, Eventstreams). Coordinate sprints, daily stand-ups, and retrospective meetings as part of Agile delivery. Collaborate with business and technical teams to analyze, document, and validate requirements . Perform source system analysis and identify appropriate data ingestion and integration strategies for both batch and streaming pipelines. Develop and optimize ETL/ELT solutions using Azure Data Factory pipelines, Synapse pipelines, or Fabric Data Pipelines. Leverage services such as Azure Data Lake Storage (ADLS), Synapse Analytics, SQL Database, Azure Functions, Event Hub, Synapse Spark, and Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Pipelines) for data integration and transformation. Write and optimize SQL, Python, and PySpark code for large-scale data processing. Implement data ingestion frameworks, incremental/delta loads , and medallion architecture patterns (Bronze/Silver/Gold). Connect and integrate diverse data sources (SQL, Oracle, ODBC, ERP, CRM, APIs, flat files, streaming events) into Fabric and Azure ecosystems. Ensure data quality, security, and governance in alignment with enterprise standards. Continuously research and adopt efficient methods for scalable data movement, transformation, and storage. Work independently and as part of a cross-functional team to deliver high-quality solutions. You're great at… Working in Microsoft Fabric and Azure Data Services to design, build, and optimize enterprise-grade data pipelines Modern data engineering, advanced SQL/Spark skills, and working collaboratively in Agile environments Solving complex problems with creative solutions Learning new concepts quickly and thoroughly Learning new concepts quickly and thoroughly Promoting the mission and Shared Values of our company #J-18808-Ljbffr

Requirements