Solution Architect/ SR. Data Platform Engineer - Resource Logistics, Inc.

TECHNICAL QUALIFICATIONS:

• 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 Clienthitecting, 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, PostgreSQL, 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).
• High 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 Clienthitecture diagrams and IT security requirements.

ADDITIONAL QUALIFICATIONS:

• 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 d 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 EXPERIENCE:

• 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
• Advance CS degree.