As a Senior Data Engineer, you will be responsible for designing and implementing complex data pipelines and analytics solutions to support key decision-making business processes in our Property & Casualty business domain

You will gain exposure to a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re Property & Casualty, You will be expected to take end-to-end ownership of deliverables, gaining a full understanding of the Property & Casualty data and the business logic required to deliver analytics solutions, 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, Data model Design, Data architecture implementation

Working with Palantir platform for implementation

Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing Development of single source of truth about our application landscape, Collaborate within a global development team to design and deliver solutions

Assist stakeholders with data-related functional and technical issues

Working with data governance platform for data management and stewardship, About The Team

This position is part of the Property & Casualty Data Integration and Analytics project within the Reinsurance Data office team under Data & Foundation

We are part of a global strategic initiative to make better use of our Property & Casualty data and to enhance our ability to make data driven decisions across the Property & Casualty reinsurance value chain, 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 robust 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 12 years of experience working with large scale software systems

At least 6 years of experience in Pyspark and Proficient in designing Large Scale Data Engineering solutions

Minimum of 2 years of experience with Palantir Foundry, including familiarity with tools such as code repositories and Workshop, 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 TypeScript/JavaScript/HTML/CSS a plus

Knowledge of data management fundamentals and data warehousing principals

Demonstrated strength in data modelling, ETL and storage/Data Lake development

Experience with Scrum/Agile development methodologies

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

About Swiss Re

Swiss Re is one of the worlds 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 recent 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: 133972

📌 Senior Data Engineer (Bengaluru)
🏢 Swiss Re
📍 Bengaluru