Data Engineer

4 weeks ago

Hyderabad, Telangana, India Swiss Re Full time

About the Role:

As a 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 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
  • 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
  • Experience working in a Cloud environment such as Palantir Foundry
  • Experience with Java and Gradle 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
  • Strong organizational skills

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.


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Reference Code: 129223

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