Hyderabad, TG, IN
Data Engineer I
Data Engineer I
About the Role
As a Data Engineer, you'll architect and develop powerful data services using Microsoft Azure technology that enable data scientists and analysts to unlock valuable risk insights. You'll be at the forefront of data transformation, building solutions that directly impact how our worldwide clients understand and manage risk.
Key Responsibilities
- Design and implement data pipelines to efficiently extract, transform, and load (ETL) data from various sources into a central data lake using Azure Data Factory and Azure Databricks
- Transform and process data using Python, PySpark, and SQL to create valuable insights
- Collaborate with peers and senior team members to optimize data processes and solve complex challenges
- Ensure data quality by performing thorough checks and troubleshooting issues
- Apply best practices in data engineering for reliability and performance
- Optimize pipelines for maximum efficiency and cost-effectiveness
- Document comprehensively and maintain data mapping across multiple systems
- Provide hands-on troubleshooting and consulting for data challenges when needed
- Perform basic unit testing to maintain data quality standards
About the Team
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 pioneering 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.
About You
You're a problem-solver at heart with a passion for data and technology. You thrive in collaborative environments and are excited about creating solutions that have real business impact. You enjoy the challenge of working with large datasets and have the technical expertise to transform complex requirements into elegant data solutions.
We are looking for candidates who meet these requirements:
- Bachelor's or master's degree in computer science, information technology, or a related field
- Approximately 2-3 years of experience in a data-related role, preferably data engineering
- Hands-on expertise with programming languages such as Python, PySpark, and SQL
- Working knowledge of data processing frameworks or ETL tools like Azure Data Factory and Azure Databricks
- Experience with Azure DevOps or similar CI/CD tools
These are additional nice to haves:
- Experience in agile software engineering methodologies
- Strong analytical and problem-solving skills to tackle complex data challenges
- Excellent interpersonal and communication skills, both written and verbal
- Meticulous attention to detail and commitment to data accuracy
- Knowledge of AI tools like CoPilot, ChatGPT, etc.
- Eagerness to learn and collaborate with team members
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week
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: 136966