Technical Lead

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.

• At least 8-10 years of experience in development of data solutions using Azure cloud platform
• Strong programming skills in Python
• Good understanding Massively parallel processing (MPP) systems, experience building Datawarehouse/DataMart on Azure Synapse SQL pools (SQL DW)
• Strong SQL skills and experience writing complex yet efficient SPROCs/Functions/Views using T-SQL
• Solid understand of spark architecture and experience with performance tuning big data workloads in spark
• Building complex data transformations on both structure and semi-structured data (XML/JSON) using Pyspark & SQL, refactoring tradition ML model to run on spark framework
• Familiarity with Azure Databricks environment and deploying spark code in databricks cluster
• Good understanding of No SQL and its use case, Modelling No SQL schemas & containers, building integration to read/write to cosmos
• Good understanding on distributed systems and experience building real-time integrations with Kafka
• Good understanding of Azure cloud ecosystem; Azure data certification of DP-200/201/203 will be an advantage
• Proficient with Visual Studio 19+, IntelliJ/eclipse and source control using GIT
• Good understanding of Agile, DevOps and CI-CD automated deployment (e.g. Azure DevOps, Jenkins)
• Good knowledge on Microservices architecture and any experience in building microservices with .NET Core WebAPI will be an advantage
• Any experience building rest-full services us

• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.
• Minimum of 8-10 years of experience
• Good to have: Confluent Kafka certification or other relevant cloud certifications (e.g., Azure).
• Experience with microservices architecture, RESTful APIs, and containerization.
• Knowledge of security best practices related to data streaming and cloud environments.

• Savings and Investment plans
• Upskilling and career growth opportunities
• Health and Welfare Benefits
• Employee Assistance Program (EAP)
• Yearly Free Health campaigns
• Comprehensive Insurance benefits

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