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Forbes Technical Consulting

Senior Data Engineer

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Job Description

Senior Data Engineer at Forbes Technical Consulting Senior Data Engineer at Forbes Technical Consulting in Berkeley, Illinois Posted in 2 days ago.

Type:

full-time Senior Data Engineer (Cloud) Chicago, IL (Remote) 6+ month contract Contact Mary at mnugent@forbestc.com

Key Skills:

Very Strong experience using Snowflake native pipelines, Snowflake native app including Streamlet, Python based Container services. Experience using AI, including Snowflake Cortex AI capabilities. Good knowledge in application and backend API development using object-oriented programming (Python, Java, Go, TypeScript/JavaScript)

Required Skills:

6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, analytics. 4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards. Experience with data warehousing platforms such as Snowflake, Redshift or similar. Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups. Experience with DB technologies (e.g., SQL, Python, Postgre

SQL, AWS

Aurora, AWS RDS, MongoDB, Redis). Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation and Terraform). Bachelor degree of knowledge in IAM Roles and Policies Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability. Strong scripting experience using PowerShell and/or Python. High degree of knowledge in PaaS and SaaS application performance. Understand enterprise level application architecture diagrams and IT security requirements.

Additional Skills Needed:

Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners. Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders Rigorous attention to detail and accuracy. Demonstrate ability to troubleshoot technical problems and issues. Passionate about programming and learning new technologies. Experience planning and executing on-premises to AWS migrations BA or BS degree Computer Engineering, Computer Science, or related fields. Strong verbal and oral communication.

Preferred Skills:

Experience with large scale enterprise streaming services such as Kafka. Experience with Kubernetes and Docker containers or AWS Fargate. Experience implementing applications with both Windows and Linux server OS Experience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or Windows Advanced CS degree