Infosys

Aws Developer

Bangalore, India

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hirly's read of this role

Role family: Engineering
Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 7 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are looking for an experienced AWS Glue Developer / Data Engineer to design, develop, and optimize scalable ETL/ELT data pipelines on AWS. The candidate should have strong hands-on experience with AWS Glue,Python, PySpark, SQL, data lake technologies, and AWS data services.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines using AWS Glue.

Develop AWS Glue jobs using Python,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.

Technical requirements

Primary skills:Technology->Cloud Platform->AWS Enviornment Provisioning,Technology->Data On Cloud - NoSQL->Amazon Dynamo DB,Technology->Data On Cloud - Platform->AWS

Additional responsibilities

Technical Skills

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

5+ years of overall Data Engineering / ETL development experience.

Strong hands-on experience developing production-grade AWS Glue 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.

Education

Bachelor of Engineering,Bachelor Of Technology

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

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