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

Location: Hyderabad - Work from Office

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We are searching for a seasoned Databricks Engineer to pioneer Databricks solutions. The Databricks Engineer will serve as a in our data engineering team, delivering highly sophisticated technological solutions using Databricks, Delta Live Tables, Snowflake, and Medallion Architecture.

Key Responsibilities:

Building, and maintaining medallion architecture-based data pipelines in Databricks platforms. Handling raw data ingestion through Delta Live Tables while ensuring data quality and access latency. Utilizing knowledge of Snowflake to offer insight into data warehousing and management. Work in conjunction with data science teams to implement complex statistical models. Ensuring data security and compliance in Databricks and Snowflake environments. Developing and deploying ETL job workflows with an emphasis on automation and scalability. * Keeping up to date with industry best practices and emerging trends in Databricks technology.