About us :

KPMG Delivery Network India (KDNI) is a diverse entity spread across multiple cities in India. We are an important part of the KPMG Delivery Network (KDN), a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries.

Team Overview :

KPMG's Data Engineering team believes analytics has the power to create significant business value. The team takes a business-first approach to solving complex challenges, delivering trusted analytics solutions that drive growth, manage risk, and improve performance.

Roles & responsibilities :

- Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs.

- Develop and manage data pipelines for ingesting, transforming, and integrating data from multiple sources.

- Data modeling for Data warehousing projects to build scalable and reliable Datawarehouse.

- Implement data security, governance, and privacy controls across Azure data platforms.

- Monitor, troubleshoot, and optimize data workflows to ensure reliability, performance, and cost efficiency.

- Optimize data storage and processing solutions by leveraging Azure best practices and services.

Mandatory technical & functional skills :

- Bachelor's degree in Computer Science or related discipline, or equivalent professional experience (4+ years).

- 6+ years of consulting or client service delivery experience in Azure Microsoft data engineering.

- 4+ years of experience designing and building data ingestion, processing, and analytical pipelines using SQL Server, Azure Synapse, Azure Databricks, and Microsoft Fabric.

- Hands-on experience implementing ETL and data processing using Microsoft Fabric, OneLake, ADLS, Azure Data Factory, and Azure Functions.

- 5+ years of hands-on experience with Azure and Big Data technologies, including Fabric, Databricks, Python, SQL, ADLS/Blob Storage, PySpark, and Spark SQL.

- 3+ years of experience working with RDBMS technologies.

- Proficiency with developer tools such as Azure DevOps, Git, and Visual Studio Team Services (VSTS).

Preferred technical & functional skills :

- Provide technical leadership to data engineering teams, including solution design, implementation guidance, and effective client demos and presentations.

- Strong hands-on experience with Microsoft Fabric, including Medallion Architecture, metadata-driven ingestion frameworks, and data quality frameworks.

- Exposure to Microsoft Copilot and Generative AI fundamentals.

- Proficient in Power BI for building dashboards, defining KPIs, and delivering actionable business insights.

- Relevant Microsoft role-based certifications (DP-600, DP-700, DP-203, DP-900, AI-102, AI-900); Power BI (PL-300) certification is a plus.

Come as you are : As a firm, we are deeply committed to diversity, inclusion and equity at our workplace.