Azure Data Engineer (MS Fabric) - Contract - Newark, NJ (Hybrid)

Job DescriptionJob Description

Hello,

Our client is looking Azure Data Engineer (MS Fabric) for Long Term Contract project in Newark, NJ (Hybrid). below is the detailed requirements.

If you are interested kindly share your updated resume to proceed further.

Job Role : Azure Data Engineer (MS Fabric)

Location : Newark - NJ (Hybrid)

Mode : Long Term Contract

Job description:

• Bachelor's degree in computer science, Software Engineering, MIS, or an equivalent combination of education and experience.
• Experience implementing and supporting data lakes, data warehouses, and data applications on Microsoft Azure for large enterprises (Fabric)
• Programming experience with Python, Spark and SQL.
• Experience with Microsoft Azure services, specifically Data Factory, ADLS Gen2, Synapse Analytics, and Synapse Database, KQL.
• Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS or Azure.
• Solid experience implementing solutions on AWS or Azure-based data lakes ().
• Knowledge of ETL/ELT processes.
• Experience with end-to-end data solutions (ingest, storage, integration, processing, access) on AWS or Azure ().
• Architect and implement CI/CD strategies for EDP.
• Implement high-velocity streaming solutions.
• Migrate data from traditional relational database systems, onprem to Azure technologies (preferably in Onelake using Fabric technologies - ().
• Develop data-based APIs
• Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-cases.
• Any Cloud Certification (Azure / AWS )
• Knowledge of Microsoft Fabric technology focusing on cost and security considerations.
• Experience developing business applications using NoSQL/SQL databases.
• Experience working with Object stores and Structured/semi-structured/unstructured data is a must.
• Experience with Microsoft Azure services Data Factory, ADLS Gen2, Synapse Analytics, and Synapse Database.
• Develop CI/CD pipeline using Terraform and github
• Microsoft Fabric is plus.