An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services
This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures
The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency

Mandatory Skills

Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 4+ years work experience)
At least 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 such as SQL server and data warehouse solutions such as Synapse/Azure Databricks, Microsoft FabricHands-on experience implementing data ingestion, ETL and data processing using Azure services: Fabric, onelake, ADLS, Azure Data Factory, Azure Functions, services in Microsoft Fabric etc
Minimum of 1+ years of hands-on experience in Azure and Big Data technologies such as Fabric, databricks, Python, SQL, ADLS/Blob, pyspark/SparkSQL
Minimum of 1+ years of RDBMS experienceExperience in using Big Data File Formats and compression techniques
Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, etc

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