AWS Data Engineer - Data Platform

Overview

AWS Data Engineer to build and maintain scalable data platforms and pipelines on AWS that support analytics and data-driven products.

What you'll do

• Build and maintain scalable, reliable data platforms and pipelines for analytics and products.
• Implement and tune data platform components in AWS infrastructure using storage, IAM, compute, and orchestration services.
• Integrate telemetry and observability solutions to support Infrastructure and Platform reliability.
• Provision and modify data infrastructure components using Terraform (including Snowflake IaC).
• Package, deploy, and manage pipeline components as containerized services (Docker; Kubernetes/EKS/ECS) and perform EKS upgrades.
• Implement data quality checks, monitoring, and basic lineage for downstream data trust.
• Develop and maintain ELT/ETL workflows using Airflow, dbt, and Airbyte (or similar ingestion tools).

What you'll need

• 4+ years of experience in Data Platform Engineering.
• Hands-on experience with AWS core services such as S3 and IAM and compute services.
• Proficiency in SQL and Python for data transformation and pipeline development.
• Experience with a cloud data warehouse such as Snowflake (or similar).
• Working knowledge of Airflow for orchestration and scheduling, including managed Airflow (MWAA) or similar.
• Experience/awareness with dbt, including dbt Cloud.
• Solid understanding of data modeling fundamentals (dimensional and fact-based designs).

Details

• Location: Pune, Maharashtra, India.