Bangalore, KA, IN
Data Engineer
About the Role
Are you an energetic data engineer who is truly customer-obsessed and loves working with teams to design and deliver exceptional data driven solutions?
As a senior data engineer, you will be responsible for delivering best in class data engineering capabilities supporting the companies' ambition to become data driven. You will have strong skills in designing, building, and testing data management solutions within big data cloud infrastructure. You have a real passion for truly democratizing data for the business and our customers.
You thrive working in an agile, collaborative environment providing knowledge and guidance on best practices and techniques for data engineering as well as gaining a deep understanding of the business
Roles and responsibilities include:
- Collaborate with your customers, understanding their data needs, finding innovative ways to bring data into their daily process
- Implement, verify, design, and maintain data management solutions
- Build a data architecture for ingestion, processing, and surfacing of data for large-scale applications
- Research and discover new methods to acquire data, and new applications for existing data
- Create full transparency of data for customers to know what is available and how to use it
- Driving the adoption of data engineering standards
- Create an agile working environment, focusing on the delivery high quality products and providing the ongoing support to meet the customers' needs
- Embedding monitoring of performance and quality of our end-to-end data landscape from source to user
About the Team
Our ambition is to become a data driven commercial insurer, finding innovative ways of using data to provide risk transfer solutions for our clients making them and the world more resilient. This is an opportunity to join a fast-paced working environment that leverages the latest technologies and data to provide unique and compelling analytics solutions in a competitive marketplace
About You
Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our growing team and become part of the next wave of data innovation.
Your experience:
- 7 - 8 years as a data engineer
- Strategic mindset, able to connect with the big picture and focus on tangible outcomes
- Experienced programmer in Python and R
- Knowledge of working in a Spark environment
- Knowledge of analytical architecture, DWH, Data Marts, analysis tools such as Power BI, Tableau, QlikView
- A desire and openness to learning and continuous improvement, both of yourself and your team members
- Fluent English
- Experience with the cloud-based services from major cloud providers including but not limited to Microsoft Azure and Amazon Web Services.
Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates
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.
Reference Code: 132316
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Data Management, Data Architect, Data, Research