About the role
Data Engineer proficitient in Databricks/Microsoft Fabric and AI capabilities in Data Engineering.
ResponsibilitiesAzure Data Engineer responsible for designing, building, and maintaining scalable data framework on the data requirements. The role involves developing and managing end‑to‑end data pipelines, integrating data from multiple sources, and ensuring reliable data ingestion, transformation and processing using spark. The Azure Data Engineer also implements data security, privacy, and governance controls, monitors and troubleshoots data workflows, and continuously optimizes data storage and processing to achieve high performance and cost efficiency across Azure data platforms
Required skillsBachelor’s degree in Computer Science or related discipline, or equivalent professional experience (4+ years).6+ years of consulting or client service delivery experience in Azure Microsoft data engineering.4+ years of experience designing and building data ingestion, processing, and analytical pipelines using SQL Server, Databricks, and Microsoft Fabric.Hands-on experience implementing ETL and data processing using Microsoft Fabric, OneLake, ADLS, Azure Data Factory, and Azure Functions.• 5+ years of hands-on experience with Azure and Big Data technologies, including Fabric, Databricks, Python, SQL, ADLS/Blob Storage, PySpark, and Spark SQL.• 3+ years of experience working with RDBMS technologies. Experience with big data file formats and compression techniques. Proficiency with developer tools such as Azure DevOps, Git, and Visual
Bachelor of Engineering / Master of Engineering