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 Outstanding 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 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