Data Engineer - Fabric Engineer

Primary Job Responsibilities:
• Knowledge of data modeling and data warehousing concepts
• Experience with cloud-based data migration
• Database management experience (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)
• Leveraged and implemented Shortcuts across workspaces to aggregate the data between different sources
• Implemented the different types of security for lakehouses and datawarehouses i.e. RLS/CLS/OLS
• ETL tool experience (e.g., SSIS, Azure Data Factory, Power BI Dataflow)
• Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control.

Required Skills:
• 10 years of data engineering experience
• 5 years of experience in building data and analytics platform focused on Azure data and analytics solutions
• 5 years of programming experience in Python/Pyspark
• Must have experience in Microsoft Fabric and implemented at the least 2 major initiatives.
• Built multiple semantic models in Fabric leveraging Direct Lake query mode
• Experience in Azure services such as
• Azure SQL Database
• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake
• Notebooks

Preferred Certifications:
• MCSE
• Azure Data Engineer Associate
• Microsoft Fabric Analytics Architect / Engineer Associate

Additional information on background:
• Leadership skill/ Soft skills: Collaborative, team player. Self-starter. Curious about technology.
• Agile experience