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# AWS Data Engineering & Production Support Technology Consultant - Redshift, Informatica, AutoSys & Python

- **Company:** ITBrainiac Inc
- **Location:** Richardson, TX, United States
- **Contract:** Contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, CA Workload Automation Ae, Cloud Database, Computer Programming, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Cloud Services, PL-SQL, SQL Databases, Enterprise Data Management, Informatica Powercenter, Spring-boot, AWS Lambda, Gitlab, Amazon Relational Database Service, AWS Data Analytics, Cloudwatch, Restful APIs, Software Version Control, Amazon Redshift, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.dice.com/job-detail/660623de-517e-4af8-8acf-186d51339f20

## About the Role

* Preferred candidates with prior experience at Capital One, Freddie Mac, or Fannie Mae., * Strong hands-on experience with AWS Cloud services.
 * Experience with Amazon Redshift and Redshift Spectrum.
 * Hands-on experience with Informatica and AutoSys.
 * Strong programming skills in Python.
 * Proficiency in SQL and PL/SQL.
 * Experience with Enterprise Data Warehousing (EDW) and Data Warehousing concepts.
 * Strong knowledge of ETL processes and Data Integration.
 * Experience providing L3 Application Support and Production Support.
 * Hands-on experience with Amazon S3, Amazon RDS, AWS Lambda, Amazon ECS/ECR, Amazon EventBridge, and Amazon CloudWatch Logs.
 * Experience with Java and Spring Boot.
 * Knowledge of RESTful APIs and Microservices Architecture.
 * Experience with GitLab for version control and d

## Description

AWS Data Engineering & Production Support Technology Consultant - Redshift, Informatica, AutoSys & Python, We are looking for an experienced AWS Data Engineering & Production Support Technology Consultant with strong hands-on expertise in AWS Cloud, Amazon Redshift, Informatica, AutoSys, Python, SQL, and enterprise data warehousing. The ideal candidate should have experience supporting complex ETL and data integration environments, handling L3 production support, and developing cloud-based data solutions using AWS services and modern application technologies.