Data Engineer III

This job is with Swiss Re, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About The Team

Working in the Group Data Services (GDS) you will work with teams across Swiss Re to solve some of the hardest problems in the re/insurance data space using cutting-edge technologies.

Working with exciting data platforms such as Palantir Foundry and Azure Synapse our team generates synergies across nearly 100 data sources, offering high quality analytical data and bringing to life solutions supporting key decision-making business processes.

While most of your peers and key partners are based in Zurich, the team is composed of an international workforce based in different locations, from USA to Bangalore, and serving a global customer basis.

About The Role

In this role you will work in one of our agile teams, with ingesting data from private and public cloud into Azure Serverless containers, curate the data using Synapse and do advanced analytics and predictions using our strategic Palantir Foundry platform.

Key responsibilities

• Design and implement data pipelines in collaboration with our data users and other internal teams
• Ensure reliability, data quality and optimal performance of our data assets
• Transpose complex business and analytics requirements into high-quality data assets
• Deliver high-quality code, focusing on simplicity, reusability, performance, and maintainability
• Work with solution engineers, data scientists and product owner to deliver end to end products
  
  

About You

If you enjoy the challenge of finding optimal solutions for demanding situations using state-of-the-art technologies, being a part of a dynamic and delivery focused team, then we would like to speak to you. We think you:

• Have overall 5+ years of experience with Software/data engineering skills and proficiency in programming languages
• Enjoy hands on development experience with Python, which is a must-have skill.
• Bring in-depth knowledge of distributed computing frameworks, PySpark experience is a must.
• Have familiarity with system design, data structures, algorithms, storage systems, and cloud infrastructure
• Possess strong knowledge in Azure Data Lake, Azure SQL and any Azure Synapse experience is a big plus
• Have working experience in Azure Networking, API gateways and also bring working experience with orchestration frameworks and Azure DevOps CI/CD tools.
• Worked on and bring experience in designing and developing serverless architecture
• Demonstrate a strong understanding of data modelling and data architecture concepts
• May have some working knowledge of advanced analytics (Machine Learning, Statistics) which would be a plus
• Could also have hands-on experience working on Foundry Pipelines we would also see as a big plus
  
  

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.

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