Join KPMG Global Services as an Azure Data Engineer - Associate Director

KPMG Global Services (KGS) was established in India in 2008 as a strategic global delivery organization, working with over 50 KPMG member firms to provide scalable, progressive, and customized business solutions. With a workforce of nearly 10,000 professionals across Bengaluru, Gurugram, Kochi, and Pune, KGS offers a wide range of Advisory and Tax-related services to KPMG network member firms.

Why Work at KPMG Global Services?

As part of KPMG in India, we have been recognized among the top companies to work for by LinkedIn for four consecutive years. We are also celebrated as one of the top three employers for women and are recognized for our Inclusion & Diversity policies by ASSOCHAM. Furthermore, we have been acknowledged as one of the ‘Best Companies for Millennials’ and ‘The Great Indian Workplace’ at notable industry conferences and summits.

Team Overview

Join our dedicated Data & Analytics team, where analytics is leveraged to solve complex business challenges from a business-first perspective. Our professionals focus on key drivers such as growth, risk, and performance, delivering an unwavering commitment to precision and quality.

Role: Azure Data Engineer - Associate Director

Reporting to: Jagadish Doki

Employment Type: Full-time

Job Requirements

Mandatory Skills:

• Bachelor’s or higher degree in Computer Science or related discipline; or equivalent (minimum 12+ years overall work experience).
• Designing and implementing data ingestion pipelines from multiple sources using Azure Native services.
• Delivering proofs of concept of key technology components to stakeholders.
• Developing scalable and reusable frameworks for dataset ingestion and enrichment using Azure services.
• Integrating end-to-end data pipelines from source systems to data stores.
• Extensive hands-on experience with Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Databricks, Azure Purview, Cosmo DB, etc.
• Minimum of 9+ years in Azure and Big Data technologies (Java, Python, SQL, ADLS/Blob, Spark/SparkSQL, Azure Databricks).
• Experience with DevSecOps and CI/CD deployments.
• Proficiency in cloud migration methodologies and tools such as Azure Data Factory, Data Migration Service, Event Hub, etc.
• Experience with Big Data file formats and compression techniques.
• Knowledge of cloud architectures, pros/cons, and migration considerations.
• Strong problem-solving skills, excellent communication abilities, and ability to work independently under pressure.

Primary Responsibilities:

An Azure Data Engineering Manager is tasked with designing, building, and maintaining an organization's data infrastructure using Azure cloud services. Responsibilities include creating data pipelines, integrating data from various sources, implementing data security and privacy measures, monitoring and troubleshooting data flows, and optimizing data storage and processing for efficiency.

Preferred Skills:

• Experience in Azure DevOps environments with tools like Microsoft Visual Studio Team Services, Terraform.
• Building data pipelines using Azure Data Factory and Apache Spark (preferably Synapse/Databricks).
• Knowledge of Azure RBAC and IAM, access controls, and security on Azure Cloud.
• Insight into Microsoft's latest tools and technologies vision.
• Role-based Microsoft certifications (DP600, DP203, DP900, AI102, AI900).
• Hands-on experience with Microsoft Power BI for creating reports/dashboards and generating business insights.

Other Information

• Number of interview rounds: 3
• Mode of interview: Virtual
• Job location: Bangalore
• Clean room policy: Not Applicable

Work Culture

At KPMG, we uphold Corporate Social Responsibility programs, maternity and paternity leave, opportunities to network and connect, and discounts on products