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 / Py Spark 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
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 / Py Spark 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
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