About Position:

We are seeking an experienced AWS Data Engineer with 8-12 years of experience in designing, developing, and supporting cloud-native data platforms and ETL solutions on AWS. The ideal candidate will be responsible for building scalable data pipelines, implementing event-driven architectures, automating infrastructure, and enabling reliable data integration across enterprise applications. This role requires solid expertise in AWS Glue, AWS Lambda, Step Functions, S3, Terraform, CI/CD, and Data Engineering best practices. The candidate will work closely with business analysts, data analysts, and engineering teams to build secure, resilient, and high-performing data solutions that support business-critical analytics and operational workloads.

Role: AWS Data Engineer
Location: Pune
Experience: 8 to 12 Years
Job Type: Full Time Employment

What You'll Do:

Design, develop, and maintain robust ETL/ELT pipelines using AWS Glue.
Define data extraction, transformation, validation, and loading processes across multiple structured and semi-structured data sources.




Build scalable and reusable data ingestion frameworks for enterprise applications.
Develop data transformation and enrichment workflows to support analytics and reporting requirements.
Implement data quality checks and validation processes within data pipelines.
Ensure data accuracy, consistency, and reliability across enterprise data platforms.
Design and implement AWS Lambda-based solutions for data integration and application support.
Develop serverless architectures to process and transform enterprise data efficiently.
Build scalable event-driven applications leveraging native AWS services.
Support application modernization initiatives through cloud-native technologies.
Optimize cloud-based data processing for performance and cost efficiency.
Orchestrate complex workflows using AWS Step Functions and AWS Lambda.
Design and implement event-driven data pipelines triggered by file arrivals in Amazo

📌 AWS Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune