Description

You will design and manage scalable data models and architectures to support BI and analytics.

Responsibilities

• Develop and manage ETL/ELT pipelines using Microsoft Fabric tools including Dataflows Gen2, Data Factory, and Notebooks.
• Build performance-optimized Power BI reports and dashboards using DAX and Power Query.
• Utilize Lakehouse architecture and OneLake for centralized data storage and processing.
• Collaborate with business teams to translate requirements into technical data solutions.
• Monitor and troubleshoot dataset refreshes, report performance, and pipeline issues.

Required Skills

• 5+ years of experience in data engineering or BI development.
• Proficiency in Power BI, including DAX, Power Query (M), Report Design, and RLS.
• Hands-on experience with Microsoft Fabric, specifically Lakehouse, Dataflows Gen2, and OneLake.
• Strong ability to write and optimize SQL queries (T-SQL or equivalent).
• Experience with data integration via Azure Data Factory or Synapse Pipelines.
• Knowledge of data warehousing concepts, schema design, and performance tuning.
• Experience with source control tools such as GitHub or Azure DevOps.
• Any Graduate degree.

Key Skills

Education

Any Graduate