Company:
Marsh Risk
Description:
We are seeking a talented individual to join our Marsh Risk Tech team, a Marsh business. This role will be based in Pune/Gurugram. This is a hybrid role that has a requirement of working at least three days a week in the office.
Senior Data Engineer (PySpark, SQL, Databricks)
We are seeking an experienced Data Engineer with strong expertise in Databricks, PySpark, and SQL to design, build, and optimize scalable cloud-native data solutions. The ideal candidate will play a key role in developing enterprise-grade data pipelines, implementing up-to-date Lakehouse architectures, and delivering high-quality data products that support analytics, reporting, and advanced data initiatives.
This role requires hands-on experience with Databricks, Delta Lake, Medallion Architecture, data modeling, and large-scale distributed data processing. The successful candidate will work closely with data architects, business stakeholders, analysts, and platform teams to build reliable, scalable, and high-performing data solutions.
We will count on you to:




Modern Data Platform & Lakehouse Development
Design and implement scalable data pipelines using Databricks Lakehouse architecture.
Build and maintain data products aligned with Medallion Architecture (Bronze, Silver, and Gold layers).
Develop ingestion, transformation, and consumption pipelines following modern data engineering best practices.
Design business-ready Gold layer datasets to support reporting, analytics, and downstream consumption.
Delta Lake Development
Build and manage Delta Lake tables and data assets.
Implement incremental processing using Merge, Upsert, and Change Data Capture (CDC) patterns.
Leverage Delta Lake features such as: ACID transactions, Time Travel, Schema Enforcement, Schema Evolution, Data Versioning
Optimize Delta tables using partitioning, compaction, and performance tuning techniques.
Data Modernization & Migration
Analyze existing data flows and SQLs and translate legacy wor

📌 Senior Principal Engineer (Gurugram)
🏢 Marsh Mclennan
📍 Gurugram