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Location: 

Bangalore, KA, IN

Data Engineer

 


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.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

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.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

About the team and the role

P&C Solutions is one of the three pillars within Swiss Re Reinsurance. The pillar aims to add value to clients’ original business by providing solutions and services across the value chain. The P&C Analytics Solutions team channels and develops solutions and services for our clients across the (re)-insurance value chain. Our clients' needs are at the heart of what we do, as we make sure that our solutions and services help our clients grow and make commercial sense. Data engineering team is a part of data science and analytics which works closely with the product owners of the risk assets in the property, commercial & casualty lines of business across geographies.

Key Roles and Responsibilities

  • Build and maintain data pipelines to inject datasets from internal and external sources
  • Align datasets with our data models to easily combine them with other data products
  • Perform data quality checks and ensure a seamless integration from various sources
  • Data wrangling and scrubbing to create a BI ready or modelling ready datasets with necessary versioning
  • Contribute to the data governance process of new data sources including the required documentation
  • Develop/maintain dashboards that give competitive insights to the clients

Ideal Candidate Profile

  • 6+ Years of industry experience, preferably from IT or a computer science background
  • Demonstrated strength in architecting data warehousing solutions, infrastructure components, ETL/ELT and reporting/analytical tools
  • Ability to produce high-quality, secure, and maintainable code in an agile environment (GIT etc)
  • Excellent data handling skills and can optimize SQL queries (Posgres SQL is a plus)
  • Experience with MS Azure platform and services (Data bricks, ADF and PowerBI)
  • Good command on visualization tools to build dashboards based on PowerBI, Dash, R-shiny
  • Exposure in working with predictive modelling teams and support product development
  • Ability to handle both structured and unstructured data (entity resolution, fuzzy mapping etc. will be a plus)
  • Past experience in the insurance industry will be good to have

Social skills & working style

  • Strong interpersonal skills and the ability to network in an interdisciplinary & multi-cultural environment
  • Strong communication skills (written and verbal), ability to present ideas
  • Self- starter who is methodical and well-organized
  • Adept in multitasking and meeting deadlines in a delivery focused environment

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.


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Reference Code: 106563 

 


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