Azure Data Engineer

Role & responsibilities

Preferred candidate profile

• Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 5 years work experience).
• At least 2+ years of consulting or client service delivery experience on Azure
• At least 2+ 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 Azure Synapse
• Extensive experience providing practical direction with using Azure Native services.
• Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Databricks, Cosmo DB etc.
• Minimum of 2+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight and live streaming technologies such as EventHub, Azure Stream Analytics etc.
• Well versed in DevSecOps and CI/CD deployments
• Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, etc.
• Minimum of 2+ years of RDBMS experience
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc.
• Experience with private and public cloud architectures, pros/cons, and migration considerations.

Primary

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.

Preferred Skills

• DevOps on an Azure platform
• Experience developing and deploying ETL solutions on Azure Cloud
• Familiarity with the Azure Purview for metadata management, Data Governance, Data Lineage, Data Catalog etc.
• Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud.
• Inclined with Microsoft vision and road map around latest tools and technologies in market.
• Knowledge on Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
• Microsoft certifications role based. (DP600, DP203,DP900, AI102, AI900..)
• Microsoft

  Powerbi

  hands on and working knowledge, to create reports/dashboards and generate insights for business users.