Assistant Manager - Data Engineering

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.