This Azure Data Engineer Consultant role focuses on designing, building, and maintaining data infrastructure using Azure cloud services. The role involves creating data pipelines, integrating data sources, implementing data security, optimizing performance and cost, and monitoring data flows. Candidates should have a solid understanding of Azure and Big Data technologies and data ingestion/processing.
Requirements
- Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent
- Minimum 3+ years of consulting or client service delivery experience on Azure Microsoft data engineering
- At least 1+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases (SQL server, Synapse/Azure Databricks, Microsoft Fabric)
- Hands-on experience implementing data ingestion, ETL and data processing using Azure services (Fabric, onelake, ADLS, Azure Data Factory, Azure Functions)
- Minimum 1+ years of hands-on experience in Azure and Big Data technologies (Fabric, databricks, Python, SQL, ADLS/Blob, pyspark/SparkSQL)
- Minimum 1+ years of RDBMS experience
- Experience working with Developer tools such as Azure DevOps, Visual Studio, Git
- Knowledge of Big Data File Formats and compression techniques
- Experience with Microsoft Co-pilot, Gen AI fundamentals, and Microsoft Powerbi