Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

AWS Solutions Architect or AWS Developer Certification required.
8+ years of experience as a Data Engineer building and supporting enterprise data solutions within AWS environments.
Hands-on expertise with AWS Glue, Lambda, and S3 for developing scalable data ingestion, integration, and processing pipelines.
Proven experience designing and implementing end-to-end data pipelines and ETL/ELT workflows across complex enterprise environments.
Expertise building and maintaining cloud-native data platforms that support data ingestion, storage, transformation, integration, and consumption on AWS.
Experience utilizing AWS CloudFormation to automate infrastructure provisioning and deployment.
Strong background in DevOps practices, including source control management with GitHub and CI/CD pipeline development using Jenkins.
Advanced proficiency in Python for developing data pipelines, AWS Glue jobs, Lambda functions, and automation solutions.
Demonstrated ability to optimize data pipelines, cloud infrastructure, and platform performance to improve scalability, reliability, and efficiency.
Hands-on experience with Informatica Data Catalog, Data Lineage, and Data Marketplace.
Hands-on experience with Ataccama RDM, MDM, and Data Observability solutions.

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