Job Description About Position:
N nWe 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 robust 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.
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- Role: AWS Data Engineer N
- Location: Pune N
- Experience: 8 to 12 Years N
- Job Type: Full Time Employment N

n n What You'llDo:
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- Design, develop, and maintain robust ETL/ELT pipelines using AWS Glue. N
- Define data extraction,transformation, validation,



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

📌 Aws Data Engineer (India)
🏢 Persistent Systems
📍 India