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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
Required Skills
Experience Levels
Domain Advantage (Nice to Have)
Why Join Us
Job ID: 135856951
Skills:
Deduplication, Sql, Python, Terraform, Pyspark, Spark, AWS data services, SCD Type 2, incremental processing, Lakehouse Medallion architecture, cdc, historical processing
Skills:
Pyspark, Redshift, Sql, Data Lake, Python, AWS Glue
Skills:
snowflake , Aws Lambda, Amazon Redshift, Amazon S3, Pyspark, AWS Glue, Data Warehousing, Python, ELT, Etl, Scalable Data Pipelines
Skills:
Spark, Data Modeling, Big Data Technologies, Java, Aws S3, Python, Scala, Hadoop, data warehousing solutions, ETL processes
Skills:
Sql, Aws Redshift, cloud computing concepts, data modeling and schema design, AWS ecosystem, data warehousing concepts and best practices, ETL ELT processes