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AWS Data Engineer

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

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Key Skills

AWS Step Functions

Amazon Redshift Athena

Amazon S3 Data Lake

AWS data services

AWS Glue ETL ELT Catalog Crawlers

Lambda EMR

About Company

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