Related skills
sql data modeling power bi pyspark azure data factory📋 Description
- Translate business objectives into scalable data architectures using Microsoft Fabric and Azure
- Define data models (star/snowflake, data vault) and patterns for batch and streaming ingestion
- Establish governance, security, and cost-optimized design on Azure and Fabric
- Build ingestion/transformation pipelines with Fabric Data Pipelines, Dataflows Gen2, Spark Notebooks, and ADF/Synapse
- 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 components: OneLake, Lakehouse, Data Pipelines, Dataflows Gen2, Spark Notebooks, Shortcuts, Power BI integration
- Strong SQL (T-SQL), PySpark/Python, and data modeling for analytics
- Ingestion and transformation patterns: CDC, SCD, incremental ETL/ELT
- Performance tuning, partitioning strategies, and file formats
- Experience with Azure Data Lake Storage, Azure Synapse, Azure Data Factory, Azure Key Vault, Event Hub/IoT Hub
- CI/CD and DevOps: Git, deployment pipelines, environment strategies
- Excellent communication skills with client-facing experience in consulting
🎁 Benefits
- Medical, dental, and vision insurance
- 401(k) plan with company match
- Tuition reimbursement
- Collaborative, inclusive culture with growth
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