Technical Lead - Data Engineer (Databricks) at Chubb

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

0.0

Posted On

28 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Python, PySpark, SQL, Databricks, Spark Architecture, T-SQL, XML, JSON, GIT, Agile, DevOps, CI-CD, Azure DevOps, Jenkins, Insurance Domain

Industry

Insurance

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 [http://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. With a team of over 2500 talented professionals, we foster a startup 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: Senior Data Engineer * Location: Bangalore/Hyderabad * Employment Type: Full-time Technical Skills: Must Have: Azure, Python/PySpark, SQL, Databricks * At least 8-10 years of experience in development of data solutions using cloud platforms * Strong programming skills in Python * 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 * Familiarity with Azure Databricks environment * Good understanding of Azure cloud ecosystem; Azure data certification of DP-200/201/203 will be an advantage * Proficient source control using GIT * Good understanding of Agile, DevOps and CI-CD automated deployment (e.g. Azure DevOps, Jenkins) * Passionate about data and analyzing business needs and experience with Insurance Domain * Excellent verbal and nonverbal communication skills

Responsibilities

This role involves developing complex data solutions utilizing cloud platforms, focusing on building intricate data transformations using PySpark and SQL on both structured and semi-structured data within the Azure Databricks environment. The individual will also be responsible for performance tuning big data workloads in Spark.