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. 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: Data Engineer – Spark, Python, Databricks and R (Power BI optional)Location: HyderabadEmployment Type: Full-timeReports to: Global Actuarial Systems 

 MAIN PURPOSE 

We seek an experienced and creative programmer with unrelenting attention to detail, an ability to work well with a small team (including both programmers and non-programmers), and a strong interest in analytics. Fluency in Spark/ Databricks for SQL(spark SQL), Python and  R is required. Also provide production support, manage issue resolution, manage BI / reporting requests, and support testing and documentation efforts. This position requires technical competencies in Python, Databricks, R and SQL.

MAJOR DUTIES / RESPONSIBILITIES 

· Work collaboratively with our actuarial team to design and implement analytics solutions based on formal project proposals. 

· Utilize expert-level knowledge of analytics associated programming languages to create scripts and pipelines capable of data access, manipulation, modelling, prediction, visualization, and reporting. 

· Ensure successful and timely completion of project deliverables. 

· Support deployment and test of solutions in the customer environment. 

· Employ coding standards and advance guidelines for efficient and effective programming.

· Familiarity with package management and libraries for Python, R and SQL in the Spark ecosystem.

· Troubleshooting and maintenance. 

· Maintaining data quality and overseeing database security. 

· Partner with IT and other Department resources to identify root cause and propose solutions. 

· Deliver verbal and written communications to business stakeholders on enhancements, issues, or general requests.

· Conduct thorough testing on new applications or enhancements. 

· Support integration of BI tools into existing workflows (i.e., provide basic training, support change management activities) specifically Power BI. 

· Develop and maintain clear and succinct documentation, including user training materials.

KNOWLEDGE & SKILLS  

· Bachelor’s degree in mathematics, statistics, actuarial science, computer science, economics, or another quantitative field 

· R, Python, MS Azure, SQL, Databricks and Github skills 

· Knowledge of Power BI is a plus. (Power Query and DAX)

· Minimum 8 years in consulting or enterprise IT with system integration and application development experience under Windows and/or Linux. 

· Programming skills including some experience with database interfaces. 

· Additional experience with one or more of the following: web services, cloud computing, MS Azure. 

· Solid understanding of software engineering best practices. 

· Strong communication and interpersonal skills working with diverse teams. 

· High attention to detail, strong analytical and problem-solving skills 

· Able to establish positive relationships with IT staff, business partners and other key stakeholders.