About the role:

We at KPMG are looking to hire Consultants/ Assistant Managers with an experience level ranging from 4-7 years. Right fit will be working on KPMGs Forensic Service offerings across various business sectors (Finance, healthcare, media, and social commerce to name a few). The potential candidate must be competent enough to take end-to-end responsibility of the business case and possess analytical mindset to solve complex business problems using data driven approach.

Assistant Managers/ Consultant

- 4-7 Years of work experience in Data Analytics/ Data Engineering.
- Hands on experience in data crunching using Python and SQL (Oracle / MS-SQL Server/ TD/ DB2).
- Data Engineering and Cloud Management: Design, develop, and maintain scalable data pipelines and ETL processes using cloud platforms (AWS, Azure, GCP). Implement and manage data storage solutions, such as data lakes and data warehouses, on cloud platforms. Ensure data security, compliance, and governance in cloud environments.
- Data Analytics and Reporting: Develop, implement, and optimize complex SQL queries for data extraction, transformation, and analysis. Use Python for data manipulation, analysis, and visualization to support business decision-making.
- Agile Framework and Project Management: Lead and participate in agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives.



Coordinate with cross functional teams to ensure timely delivery of projects and adherence to agile principles.
- DevOps: Implement and manage CI/CD pipelines for automated deployment of data solutions on cloud platforms. Use infrastructure as code (IaC) tools such as Terraform or CloudFormation to provision and manage cloud resources.
- Problem Solving and Troubleshooting: Identify and resolve data-related issues, including data quality, integrity, and availability. Troubleshoot performance bottlenecks in data pipelines and optimize for efficiency. Collaborate with IT and infrastructure teams to resolve technical challenges related to cloud environments.
- Data Governance, Documentation and Compliance: Maintain comprehensive documentation of data engineering processes, data models, and system configurations. Ensure compliance with data privacy regulations and industry standards. Document and implement data governance policies and procedures.
- Good in Story building, creating interactive dashboards and reporting (Tableau/Power BI / Qlik/ Alteryx and MS Office)
- Excellent communication, presentation, and organizational skills.
- Ability to present information professionally & concisely with supporting data.

Positive to have:

- Experience in fraud investigations/ fraud analytics
- Blockchain/ IOT/ Generative AI exposure

📌 Data Analytics/Engineering (Gurugram)
🏢 KPMG Assurance and Consulting Services
📍 Gurugram