Aws Developer

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 Technical Requirements: • Primary skills:Technology->Data On Cloud - NoSQL->Amazon Dynamo DB,Technology->Data On Cloud - Platform->AWS Responsibilities: Responsibilities • 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. Preferred Skills: Technology->Cloud->AWS - Database Technologies,Technology->Cloud->AWS