Job Description

Job Title: Senior AWS Data Engineer

Experience: 8+ Years

Location: Bangalore

Job Overview

We are looking for an experienced Senior AWS Data Engineer with strong hands-on expertise in building scalable data lakes, data warehouses, and ETL/ELT pipelines on AWS. The ideal candidate will have deep experience with AWS analytics services, PySpark, Medallion Architecture , and infrastructure automation using Terraform .

Key Responsibilities

  • Design, build, and optimize enterprise-grade data lakes and data warehouses on AWS
  • Develop and maintain ETL/ELT pipelines using PySpark, AWS Glue, Lambda , and API-based ingestion
  • Implement Medallion Architecture (Bronze–Silver–Gold) for scalable data processing
  • Manage data ingestion from APIs, JSON, Parquet, Iceberg , and databases
  • Build analytical layers using S3, Glue Catalog, Athena, and Redshift
  • Implement IAM policies, encryption, and secure access controls
  • Provision and manage infrastructure using Terraform
  • Collaborate with DevOps teams to support CI/CD workflows
  • Troubleshoot and optimize performance across ingestion and analytics layers

Required Skills & Experience

  • 8+ years of experience in Data Engineering
  • Strong hands-on experience with AWS (S3, Glue, Athena, Redshift, IAM)
  • Strong PySpark development experience
  • Solid understanding of Data Lake and Data Warehouse concepts
  • Hands-on experience with Medallion Architecture
  • Expertise in ETL/ELT and ingestion frameworks
  • Experience working with API, JSON, Parquet, Iceberg formats
  • Hands-on experience with Terraform

Location

  • Bangalore

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