AWS Data Engineer
ValueMomentum- Posted 2 months ago
- Over 50 applicants have applied
Job Description
We're Hiring | AWS Data Engineers (SE / SSE / Lead)
Powering Data Platforms for Global & US P&C Insurance Customers
We are expanding our Data & Analytics Engineering practice and are looking for AWS Data Engineers across levels to build and scale cloud-native data platforms for leading global and US Property & Casualty (P&C) insurance customers.
Locations: Hyderabad | Pune | Coimbatore
Roles: Software Engineer (SE) | Senior Software Engineer (SSE) | Lead Data Engineer
Role Overview
As an AWS Data Engineer, you will design, build, and operate enterprise-scale data lakes and analytics platforms on AWS, enabling data-driven decisioning across underwriting, claims, pricing, and analytics for P&C insurers.
You will work on high-volume, high-complexity insurance datasets, collaborating closely with engineering, analytics, and business teams.
Key Responsibilities
- Design and build cloud-native data pipelines on AWS for insurance data platforms
- Develop and optimize ETL / ELT workflows supporting policy, claims, underwriting, and billing data
- Build and manage AWS data lakes with strong focus on data quality, lineage, security, and performance
- Translate business and analytics requirements into scalable, production-grade data solutions
- (For Lead roles) Own technical design, architecture decisions, code reviews, and team mentoring
Required Skills
- Strong hands-on experience with AWS data services, including:
- Amazon S3 (Data Lake)
- AWS Glue (ETL / ELT, Catalog, Crawlers)
- Amazon Redshift, Athena
- Lambda, EMR
- Proficiency in Python and SQL
- Experience with data modeling, optimization, and performance tuning
- Hands-on exposure to Spark / PySpark is a strong plus
- Familiarity with orchestration tools such as Airflow, AWS Step Functions, or similar
Experience Levels
- SE: 2–4 years of experience in data engineering or cloud data platforms
- SSE: 4–7 years with strong hands-on AWS data engineering ownership
- Lead: 7+ years with experience designing enterprise-scale data platforms and leading teams
Domain Advantage (Nice to Have)
- Experience working with P&C insurance data domains (Policy, Claims, Billing, Rating, Underwriting)
- Exposure to US or global insurance customers is a strong advantage, though not mandatory
Why Join Us
- Build a domain-focused technology career combining AWS, Data Engineering, and P&C Insurance
- Work on real-world, enterprise-scale data platforms for leading US and global P&C insurers
- Gain deep expertise in insurance data, analytics, and cloud-native architectures
- Be part of a premium engineering culture with strong emphasis on design, ownership, and long-term growth
- Clear career paths into Senior Engineer, Architect, and Technical Leadership roles
More Info
Key Skills
AWS Step Functions
Amazon Redshift Athena
Amazon S3 Data Lake
AWS data services
AWS Glue ETL ELT Catalog Crawlers
Lambda EMR



