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 tri

📌 Finance Director (India)
🏢 Persistent Systems
📍 India