Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design and manage data ingestion pipelines, lakehouses, data warehouses, notebooks, and high-performance Power BI models and reports using Microsoft Fabric and Azure. Administer platform capacity, workspaces, security, and governance; optimize workloads and lead migrations from legacy systems to Fabric.
Job details
Key Responsibilities DutiesFabric Azure Integration Design and implement data ingestion pipelines (ETLELT) using Fabric Data Factory, Dataflows Gen2, and Azure Data Factory.Data Modeling Storage Create Lakehouses, Data Warehouses, and Notebooks, utilizing Delta Lake best practices for data storage within OneLake.Power BI Enhancement Develop complex, high-performance Power BI semantic models and reports using DAX and Direct Lake mode.Platform Administration Manage capacity, workspace settings, security, RBAC, and data governance across the Microsoft Fabric tenant.Performance Scaling Monitor workload utilization, optimize Spark jobs, and optimize SQL queries for large datasets.Migration Lead migration from legacy systems (e.g., Azure Synapse, SQL) to Fabric. Required Technical SkillsPlatform Microsoft Fabric (full suite) and Microsoft Azure (Data Factory, Azure SQL).Languages SQL, PythonPySpark.Analytics Power BI (DAX, Power Query, Data Modeling).Data Lakehouse Delta Lake, Data Engineering concepts.
What you’ll do
Design and manage data ingestion pipelines, lakehouses, data warehouses, notebooks, and high-performance Power BI models and reports using Microsoft Fabric and Azure. Administer platform capacity, workspaces, security, and governance; optimize workloads and lead migrations from legacy systems to Fabric.
Requirements
The role requires experience with Microsoft Fabric and Azure services, including Azure Data Factory and Azure SQL, as well as SQL, Python or PySpark, and Power BI tools such as DAX and Power Query. Knowledge of Delta Lake, data engineering, data modeling, and performance optimization is also required.
Listed skills
- Microsoft Azure · Preferred
- Power BI · Preferred
- SQL · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Microsoft Fabric
- Microsoft Azure
- Fabric Data Factory
- Dataflows Gen2
- Azure Data Factory
- Power BI
- DAX
- Power Query
- SQL
- Python
- PySpark
- Delta Lake
- Data Modeling
- Data Engineering
- Role-Based Access Control
- Performance Optimization
Job areas
- Technology
- Data & Analytics
- Software
- Education
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