Senior Data Engineer

Bangalore, KA, IN

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Senior Data Engineer – Palantir Foundry 
Build data & analytics products that shape and steer Swiss Re Group Digital and Transformation 
 
Swiss Re | Bengaluru | Hybrid (up to two remote days each week, your choice) 

About the Team 

InfoTech Data & Analytics is part of Group Data Services (Digital & Tech) and links almost 70 data sources to give Swiss Re clear, trusted insight for steering group operations. The team is composed of an international workforce based in Bengaluru, Zurich and Bratislava, serving a global consumer base. 

We work extensively with Palantir Foundry, Azure Synapse Analytics, and PySpark for large-scale data processing, building scalable and distributed analytics. 

We are an outcome-focused crew, enjoy tackling the toughest data engineering and analytics challenges and believe in learning, failing & growing together. We work close to our internal customers to drive the best business value and appreciate proactiveness and taking ownership. 

About the Role 

We design and build robust data pipelines, teaming up with data consumers and cross-functional squads on Azure Synapse and our strategic analytics powerhouse—Palantir Foundry. Our data and analytics products range from simple ad-hoc datasets and all the way up to analytics applications handling complex topics such as people demand and planning, strategic workforce planning, IT cost and consumption and are used across Swiss Re. 

 

Key responsibilities 

  • Design and implement data pipelines in collaboration with our data users and other internal teams, including hands-on development and solutioning 

  • Ensure reliability, data quality and optimal performance of our data assets in Foundry (or Azure process flow) 

  • Transpose complex business requirements into high-quality data asset & capability delivery 

  • Deliver high-quality code using mainly PySpark / Python, also SQL and Typescript, focusing on simplicity, reusability, performance, and maintainability 

  • Optimize Spark jobs for efficiency and minimal cost 

  • Work with solution engineers, data scientists and product owners to deliver end-to-end data products 

  • Support emerging AI and ML capabilities 

 

About You 

  • 7+ years in data engineering, transformation & analysis with proficiency in programming & scripting languages 

  • Hands-on expertise with any of the Cloud platforms like Azure, or Palantir Foundry (any other cloud platform works, if you are interested in learning more!)  

  • Strong Python/ PySpark / Scala skills along with in-depth knowledge of SQL 

  • Working knowledge of Azure Synapse Analytics, Azure Data Lake and Azure SQL (or similar knowledge of data-oriented cloud services) 

  • Conceptual knowledge around system design, data structures, scalable storage solutions, security constraints and cloud infrastructure 

  • You have a knack for solving problems, clarity of thought process, and experience to be able to work around data transformation models and know what great assets, data can be! 

Nice to have 

  • Data visualization experience, or have built dashboards or apps on Workshop/ Power BI etc. 

  • TypeScript for Functions in Foundry or Slate front-end work 

  • Have a DevSecOps mindset, basic understanding of DevOps tools 

  • Work with Palantir AIP for Data science/ AI / ML 

  • Basic machine-learning or statistics knowledge 

  • Palantir Foundry or Azure Data Engineer certificate  

 

What We Offer 

  • Hybrid work with up to two remote days each week 

  • Modern Bengaluru office, and a global peer network 

  • Annual bonus linked to company and personal goals 

  • 18 days annual leave plus local holidays  

  • Insured Benefits: Group Mediclaim Cover, Group Personal Accident Cover, Group Term Life Cover 

Swiss Re is an equal-opportunity employer – Apply today! 

 

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: 134457 

 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Azure Data pipelines Data quality Data visualization DevOps Engineering Machine Learning Pipelines Power BI PySpark Python Scala Security Spark SQL Statistics TypeScript

Perks/benefits: Career development Flex hours Health care Salary bonus

Region: Asia/Pacific
Country: India

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