Related skills
power bi data pipelines microsoft fabric lakehouse onelake📋 Description
- Translate business objectives into scalable data architectures with Microsoft Fabric.
- Define data models (star/snowflake, data vault) and batch/streaming ingestion patterns.
- Establish governance, security, and cost-optimized design on Azure and Fabric.
- Build ingestion/transformation pipelines using Fabric Data Pipelines, Dataflows Gen2, PySpark/SQL.
- Develop reusable frameworks for data quality, schema management, and metadata-driven processing.
- Implement CDC, SCD, and incremental processing in Lakehouse layers.
🎯 Requirements
- 3-7+ years in data engineering with the Microsoft stack.
- Hands-on with Microsoft Fabric: OneLake, Lakehouse, Data Pipelines.
- SQL (T-SQL), PySpark/Python, and data modeling for analytics.
- CDC, SCD, and incremental ETL/ELT patterns.
- Azure Data Lake Storage, Synapse, Data Factory.
- CI/CD and DevOps: Git, deployment pipelines.
🎁 Benefits
- Competitive benefits: medical, dental and vision, 401(k).
- Tuition reimbursement.
- Collaborative, innovative culture with growth opportunities.
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