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Aws Developer
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Aws Developer
Infosys- Posted 2 hours ago
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Job Description
- Design, develop, and maintain ETL/ELT pipelines using AWS Glue.
- Develop AWS Glue jobs using PySpark, and SQL for large-scale data processing.
- Build data ingestion and transformation pipelines across structured and semi-structured data sources.
- Configure and manage AWS Glue Data Catalog, Jobs, Workflows, and Triggers.
- Work with AWS services such as Amazon S3, Redshift, and IAM.
- Implement data transformations, validations, data-quality checks, and reconciliation processes.
- Optimize Glue/Spark jobs for performance, scalability, reliability, and cost efficiency.
- Implement incremental loads, partitioning strategies, error handling, restart/recovery, and audit frameworks.
- Troubleshoot ETL pipeline failures and production performance issues.
- Implement appropriate security controls including IAM roles, encryption, and access management.
- Support migration of legacy/mainframe or on-premises ETL workloads to the AWS cloud data platform.
- Develop automated deployment processes using CI/CD and Infrastructure-as-Code practices where applicable.
- Collaborate with data architects, analysts, business teams, and cloud/platform teams to translate requirements into scalable data solutions.
- Prepare technical design documents, mapping specifications, operational documentation, and deployment/runbook documentation.
- AWS Glue
- Python/PySpark / Apache Spark
- SQL
- Amazon S3
- Data Lake / Cloud Data Warehouse concepts
- ETL/ELT design and development
- Performance optimization and troubleshooting Experience
- 7+ years of overall Data Engineering / ETL development experience.
- Strong hands-on experience developing production-grade AWS Glue,Python and PySpark solutions.
- Experience handling high-volume datasets and complex transformations in AWS environments. Preferred Certification
- AWS Certified Data Engineer – Associate or other relevant AWS certification.
More Info
Key Skills
ELT design and development
Cloud Data Warehouse concepts


