Data Engineer
Swiss Re
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • India
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About the role
- Design and build robust, scalable data pipelines (batch and streaming) that transform complex insurance data into actionable insights
- Engineer and maintain analytics-ready data products with clear contracts and comprehensive documentation
- Ensure high data quality, observability, lineage, and reliability across all data pipelines
- Own end-to-end delivery of data engineering initiatives from design through production implementation
- Break down complex requirements into executable technical plans and deliver against aggressive timelines
- Proactively identify and resolve bottlenecks, technical debt, and operational risks before they impact business operations
- Establish and enforce engineering standards including coding practices, testing protocols, CI/CD pipelines, and data modeling approaches
- Drive reusability and simplification across the data ecosystem to reduce fragmentation and technical debt
- Collaborate with analytics, data science, underwriting, and business teams to translate needs into scalable solutions
- Communicate effectively on trade-offs, timelines, and risks to technical and non-technical stakeholders
- Provide technical guidance and constructive code/design reviews to help elevate team capabilities.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
- 8+ years of professional experience in data engineering, with at least 5 years specifically in the insurance or financial services industry
- Advanced expertise in PySpark for large-scale data processing, including performance optimization and best practices
- Strong proficiency in TypeScript for developing robust, type-safe applications and data services
- Experience with Palantir platforms and tools for data integration and analytics workflows
- Extensive experience designing, implementing, and maintaining complex ETL/ELT pipelines in cloud environments (preferably AWS or Azure)
- Proven track record of implementing data governance, quality, and lineage solutions at enterprise scale
- Deep knowledge of data modeling techniques and best practices for both analytical and operational data store.
Benefits
- Hybrid work model where the expectation is that you will be in the office at least three days per week
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringPySparkTypeScriptETLELTdata modelingdata governanceperformance optimizationcloud environmentsanalytics-ready data products
Soft Skills
communicationcollaborationproblem-solvingtechnical guidancedocumentationrisk managementtime managementleadershipcritical thinkingadaptability
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Engineering