Data Engineer III

Hyderabad, TG, IN

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About the Role

As a Data Engineer, you will design, build, and enhance data pipelines and platforms supporting the One Platform/RDS team. You will be responsible for developing scalable data solutions, optimizing data workflows, and ensuring data quality and governance. You will collaborate with cross-functional teams to understand data requirements and deliver robust data infrastructure that supports analytics and business intelligence. You will also contribute to the continuous improvement of data engineering practices and mentor junior team members.

About the Team

Our team is the One Platform/RDS team, responsible for building and maintaining data platforms and services that support enterprise-wide data needs. We are passionate about data and technology, and we work closely with stakeholders across the organization to deliver high-quality data solutions. As part of a global team, you will have the opportunity to work with diverse technologies and contribute to strategic data initiatives.

About You

To succeed in this role, you will possess:

  • 5+ years of experience in data engineering with strong proficiency in Python, SQL, Spark.
  • Hands-on experience with cloud platforms such as Azure, AWS, or GCP, with a preference for Azure Data Services.
  • Experience with Databricks, Delta Lake, and building ETL/ELT pipelines for large-scale data processing.
  • Proficiency in data modeling, data warehousing, and performance tuning.
  • Familiarity with data governance, data quality frameworks, and metadata management.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Strong understanding of CI/CD pipelines and DevOps practices for data engineering.
  • Ability to collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
  • Strong analytical and problem-solving skills with a focus on delivering business value.
  • Excellent communication and presentation skills with proficiency in English.
  • Understanding of insurance/reinsurance business is an advantage.
  • Comfort working in a fast-paced, ambiguous environment with a focus on outcomes.

 

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: 134820 

 

 

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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: AWS Azure Business Intelligence CI/CD Databricks Data governance Data pipelines Data quality Data Warehousing DevOps Docker ELT Engineering ETL GCP Kubernetes Pipelines Python Spark SQL

Perks/benefits: Flex hours

Region: Asia/Pacific
Country: India

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