Data Engineer II
Regular Employment
Location: Bangalore, KA, IN
About the Role:
As a Data Engineer, you will be responsible for designing and delivering best in class data engineering capabilities supporting the company's ambition to become data driven. You will have strong skills in architecting, designing, building and testing data management solutions within a big data cloud infrastructure. You have a real passion for truly democratizing data for business and our customers.
Key responsibilities include:
- Work closely with Product Owners and Architects to understand requirements, formulate solutions and evaluate the implementation effort.
- Design, develop and maintain scalable data transformation pipelines.
- Design and implement analytics models and visualizations to provide actionable data insights.
- Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape.
- Collaborate with a global development team to design and deliver solutions.
About the Team:
Property & Casualty Data & Analytics Engineering is a key tech partner for our Property & Casualty Reinsurance division, supporting the transformation of the data landscape and the creation of innovative analytical products and capabilities. A large globally distributed team working in an agile development landscape, we deliver solutions to make better use of our reinsurance data and enhance our ability to make data-driven decisions across the business value chain
About You:
About You: You enjoy the challenge of solving complex big data analytics problems using state-of-the-art technologies as part of a growing global team of data engineering professionals. You are a self-starter with strong problem-solving skills and capable of owning and implementing solutions from start to finish.
Key qualifications include:
• Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline
• At least 5 years of experience working with large scale software systems. • Proficient in Python/PySpark/TypeScript • . Proficient in SQL (Spark SQL preferred)
• Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
• Experience with Scrum/Agile development methodologies
• Experience with JavaScript/HTML/CSS a plus
• Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus
• Experienced in working with a diverse multi-location team of internal and external professionals • Strong analytical and problem-solving skills
• Self-starter with a positive attitude and a willingness to learn
• Ability to manage own workload; self-directed
• Ability and enthusiasm to work in a global and multicultural environment
• Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments
• If you also have the following experience and interests, it is a huge plus: o Knowledge of Palantir Foundry or Microsoft Power BI o Project management abilities within agile frameworks o Experience with Machine Learning or Generative AI
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Keywords:
Reference Code: 135700
Reference Code: 135700
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