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

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n What You'll Do:
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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 workflows using AWS Ste

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