Fabric Data Engineer

Skills

• ci-cd
• data-engineering
• data-modeling
• data-pipelines
• data-quality
• data-warehousing
• elt
• etl
• git
• lakehouse
• microsoft-fabric
• powerbi
• pyspark
• python
• sql
• version-control

Must have

1. 34 years of experience in data engineering, with hands-on exposure to Microsoft Fabric.
2. Strong experience in developing and managing data pipelines, notebooks, and data transformation workflows.
3. Proficiency in SQL, including complex queries, joins, aggregations, and query optimization.
4. Good understanding of database design, data modelling, and data warehousing concepts.
5. Experience with data integration, ETL/ELT processes, and pipeline orchestration.
6. Working knowledge of Python and PySpark for data processing.
7. Understanding of data quality, pipeline monitoring, and performance optimization.

Nice to have

1. Hands-on experience with Fabric Lakehouse, Notebooks, and Dataflows Gen2.
2. Familiarity with Fabric Warehouse, OneLake, and Delta tables.
3. Exposure to Git, version control, and CI/CD practices.
4. Familiarity with Power BI and related data integration tools.

Full description