AWS Data Engineer - Contract - Remote @ Resource 1, Inc. | Jobright.ai
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AWS Data Engineer - Contract - Remote jobs in Chicago, IL
200+ applicants
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Resource 1, Inc. ยท 5 hours ago

AWS Data Engineer - Contract - Remote

positionChicago, IL
timeContract
remoteRemote
seniorityMid, Senior Level
date5+ years exp
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ConsultingInformation Services
Hiring Manager
John Mussatto
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Responsibilities

Migration of data warehouse from Azure to AWS
Design, configure, and optimize Amazon Redshift clusters to store and process large datasets. Work on the performance tuning of Redshift queries and ensure high availability and scalability.
Develop ETL pipelines using AWS Glue to facilitate data integration between sources and Redshift.
Implement monitoring tools and strategies for performance optimization of AWS resources (Redshift, Glue, EC2) and ensure smooth data flow across the infrastructure.
Work closely with Data Analysts, Data Scientists, and other stakeholders to design data models, build pipelines, and ensure the availability of clean, accurate, and reliable data.
Use Redshift ML to build and deploy machine learning models within the Redshift environment.
Advocate for cloud architecture best practices, data security, and cost-efficient strategies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWS RedshiftAWS GlueAWS EC2ETL pipelinesData migrationSQLPythonRedshift MLAWS S3AWS IAMAWS LambdaAWS CloudWatchCloud cost optimizationAWS CloudFormationTerraformDevOps practicesCI/CD pipelines

Required

5+ years of experience as a Data Engineer, with a strong focus on AWS technologies.
Experience migrating data warehouse from Azure to AWS.
Experience working with AWS Redshift, AWS Glue, and AWS EC2.
Expertise in designing/building scalable ETL pipelines and data architectures on AWS.
Expertise in Redshift (clustering, querying, schema design, performance tuning).
Strong knowledge of AWS Glue for ETL workflows and data integration.
Proficient in AWS EC2 for cloud compute management.
Familiarity with Redshift ML (optional, but a plus).
Experience with AWS services such as S3, IAM, Lambda, and CloudWatch is beneficial.
Familiarity with cloud cost optimization strategies.
Proficiency in SQL and Python for data processing and automation.

Preferred

Redshift ML and integrating machine learning models within the Redshift ecosystem.
AWS CloudFormation or Terraform for infrastructure automation.
DevOps practices and CI/CD pipelines in context of data engineering.

Company

Resource 1, Inc.

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Resource 1 is a privately held national consulting firm established in 1982 with Corporate Headquarters and Technology Center in Oak Brook, Illinois.
dateFounded in 1982
location
Oak Brook, Illinois, USA
people-size51-200 employees
web-link
https://www.resource1.com/

Funding

Current Stage
Growth Stage

Leadership Team

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Gary R Moore
President / Managing Partner
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Holly Utter
Chief Operations Officer
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Company data provided by crunchbase
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