Cloud AWS Engineer - III Cloud AWS Engineer - III

Cloud Aws Engineer New York , NY - Hybrid position work onsite in NYC 2 days a week (candidates must be in tri state area) 12 month contract - extension likely Must be eligable for a level 2 security clearance Hourly rate w2 No corp to corp or 3 rd party agencies Come join our amazing team We are looking for an Aws Cloud Engineer with extensive experience with IAC terraform integrating applications must also have Databricks, GItlab and AWS Cloud and Devsecops. Starburst is a plus You have: - 6-10 years of Cloud Infrastructure Engineering Experience with AWS - Experience building and managing enterprise cloud infrastructure. - Strong hands-on experience on AWS and/or Azure environments - Strong hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation. - Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, - RDS/Aurora, ElastiCache and serverless computing services Experience with Databricks - Strong hands-on experience with Databricks and Starburst data platforms on AWS cloud. - Demonstrated experience of ownership and responsibility for end-to-end design, development, testing, release of key components of data lake solution using Databricks and Starburst platforms. - Demonstrated experience of developing, maintaining data lakes with advanced capabilities such as delta sharing capabilities - Strong understanding of best practices in management of data, including master data, reference data, metadata, data quality and lineage. - Proven experience in setting up DevOps infrastructure, CI/CD pipelines, driving automated build management using GitLab preferred. - Extensive expertise in providing guidance, building highly available/fault-tolerant enterprise class infrastructure with multiple-region and multi-AZ models. - Working knowledge of implementing cloud identity and access management solutions to enforce security guidelines. - Working knowledge and experience with DevSecOps operating model - Experience working in Agile teams. - Development experience using Python and/or Java preferred. - Proven experience translating architectural plans and business requirements into infrastructure implementations. - Self-starter with the ability to effectively plan, prioritize and manage multiple projects, tasks and deliverables throughout project lifecycle. Quals - 6-10 years of Cloud Infrastructure Engineering Experience with AWS - Experience building and managing enterprise cloud infrastructure. - Strong hands-on experience on AWS and/or Azure environments - Strong hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation. - Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, - RDS/Aurora, ElastiCache and serverless computing services - Strong hands-on experience with Databricks and Starburst data platforms on AWS cloud. - Demonstrated experience of ownership and responsibility for end-to-end design, development, testing, release of key components of data lake solution using Databricks and Starburst platforms. - Demonstrated experience of developing, maintaining data lakes with advanced capabilities such as delta sharing capabilities - Strong understanding of best practices in management of data, including master data, reference data, metadata, data quality and lineage. - Proven experience in setting up DevOps infrastructure, CI/CD pipelines, driving automated build management using GitLab preferred. - Extensive expertise in providing guidance, building highly available/fault-tolerant enterprise class infrastructure with multiple-region and multi-AZ models. - Working knowledge of implementing cloud identity and access management solutions to enforce security guidelines. - Working knowledge and experience with DevSecOps operating model - Experience working in Agile teams. - Development experience using Python and/or Java preferred. - Proven experience translating architectural plans and business requirements into infrastructure implementations. - Self-starter with the ability to effectively plan, prioritize and manage multiple projects, tasks and deliverables throughout project lifecycle.