Microsoft Fabric Data Engineer
Posted Updated
Summary
Designs and builds data and analytics platforms on Microsoft Azure using Microsoft Fabric — developing ETL pipelines, managing databases, and performing cloud data migrations with Azure Data Factory, Synapse, SQL Database, Python, and PySpark in an Agile/Scrum environment.
Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure
Microsoft Fabric Data Engineer requires:
- 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions.
- Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:
- Software development and scripting languages
- ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).
- Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
- Knowledge of data modeling and data warehousing concepts.
- Excellent problem-solving and troubleshooting abilities.
- Attention to detail and commitment to data accuracy.
- Experience with cloud-based data migration.
- Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.
- Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
- 3+ years of programming experience in Python/Pyspark.
- 7+ years of experience in Microsoft Azure.
- Knowledge of Jira, Confluence, SAFe development methodology & DevOps.
- Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark