We are recruiting for an Associate Consultant in the team.

Your responsibilities will include:

* Design, develop, and maintain scalable data pipelines and data engineering
solutions using Databricks, PySpark, Python, and Advanced SQL to support
business reporting and analytics needs.
* Build and optimize ETL/ELT processes for ingesting, transforming, and
processing structured and semi-structured data while ensuring data quality
and reliability.
* Develop and maintain robust data models and curated datasets aligned with
business and analytical requirements.
* Design and implement scalable, secure, and cost-effective data architectures
on AWS and Azure, leveraging cloud-native services, Databricks, and Microsoft
Fabric to support enterprise analytics and reporting requirements.
* Work closely with business stakeholders to understand requirements, ask
appropriate business questions, and translate them into effective technical
solutions.
* Perform data validation, testing, monitoring, and troubleshooting to ensure
accuracy, performance, scalability,



and data integrity across pipelines.
* Leverage Databricks best practices to optimize Spark jobs, SQL workloads, and
overall platform performance.
* Collaborate with cross-functional teams including analysts, architects, and
business users to deliver high-quality data solutions and support data-driven
decision making.
* Ensure all solutions adhere to organizational standards, security guidelines,
governance policies, and development best practices

>> SKILLS & QUALIFICATIONS:

To succeed in this demanding role you will need to demonstrate the following
skills and experience:

* Over 2 years of hands-on experience in Data Engineering, DataWarehousing, and
large-scale data processing projects.
* Solid expertise in Databricks/ MS Fabric, Advanced SQL,Python, PySpark, Data
Pipeline Development, and DataModeling. Power BI experience will be a plus.
* Experience in designing and developing scalable ETL/ELTpipelines and working

📌 Associate Consultant (Gurugram)
🏢 KPMG India
📍 Gurugram