Job Description

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow


With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.


We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details:

Job Title

: Data Engineer - Databricks

Function/Department

: Data*

Location

: Hyderabad/Bangalore*

Employment Type

: Full Time*

Key Responsibilities:

Design, develop, and optimize data pipelines and workflows using Databricks and other ETL tools. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Implement and manage data storage solutions using Snowflake, ensuring data is organized, accessible, and secure. Write efficient, reusable, and reliable Python code to process and analyze large datasets. Develop complex SQL queries to extract, transform, and load data from various sources. Monitor and troubleshoot data pipeline performance, ensuring data quality and integrity. Stay up-to-date with the latest industry trends and technologies in data engineering and analytics. * Mentor junior data engineers and provide technical guidance to the team.