Consultant - Azure Data Factory / Azure SQL Server / Data Modeling

5 days ago

Delhi Mumbai NCR, India KPMG Assurance and Consulting Services LLP Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Description:

  1. Design, develop, and maintain interactive dashboards and reports using Power BI.
  2. Apply advance Power BI capabilities, including Power Query, DAX, and data modeling techniques.
  3. Lead design and development of data models, ETL processes, and data visualization components.
  4. Extract, transform, and load (ETL) data from various sources to create data models for reporting and analysis.
  5. Build and manage data pipelines using Azure Data Factory for ingestion, transformation, and loading into data lakes or warehouses.
  6. Monitoring and Troubleshooting data pipelines in ADF Azure data factory to ensure successful execution and data accuracy.
  7. Stay up to date with the latest PowerBI features, best practices, and industry trends and incorporate them into the development and maintenance process.
  8. Ensure data accuracy, consistency, and timeliness across reporting systems.
  9. Utilize tools such as Power Apps, Power Automate, SharePoint, and Microsoft Fabric to create integrated solutions.
  10. Support vendor coordination and internal stakeholder alignment, including with engineering leads and compliance officers.
  11. Work closely with data engineers, transformation teams, and business stakeholders to gather requirements and translate them into effective BI solutions.
  12. Maintain project documentation including RAID logs, milestone trackers, and workstream plans.

Technical Skills

  1. Minimum of 5-9 years of proven experience as a Business Intelligence (BI) Developer or in a similar role, with a strong track record in designing and developing BI solutions.
  2. Proficiency in Excel, Power BI, Azure SQL Server & Azure Data Factory.
  3. Strong command of SQL and experience with relational databases.
  4. Hands-on experience with Microsoft Power Platform tools, including SharePoint, Power Apps, Power Automate, Power Query (M language), Power BI and Microsoft Fabric.
  5. Microsoft certifications in Power BI Data Analytics (PL-300) or Azure Data Engineer (DP-203) are highly desirable.

Professional Attributes:1. Strong organizational and communication skills with a bias for action and clarity.

  1. Self-driven and proactive, capable of working independently while managing multiple priorities in a dynamic environment.

  2. Self-motivation and the ability to work with little supervision.4. Flexibility to work in shifts and provide after workhours support as and when required.

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