AWS Cloud Data Engineer

The Cloud Data Engineer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud-based infrastructure and applications. This is a fully remote (EST Core Hours) long term contract engagement. Responsibilities include enabling collaboration, automation, and efficiency in the development of cloud-based micro frontend applications, thereby facilitating the rapid delivery of high-quality software and services to customers. This position requires technical proficiency in AWS cloud development with Data engineering & full stack skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs, lambda, API Gateway, node js and react js etc., adherence to software engineering best practices, and alignment with the agency’s technical direction & data policies. Additionally, the role involves collaboration with teams on leveraging the possibilities of common components and technology solutions to ensure successful adoption and implementation. We can provide a starting hourly rate between $45-$60/hr depending on candidate previous experience. Must Haves:7+ years’ experience in Cloud Engineering/Data Engineering with 7+ years’ experience using Python and/or NodeJS AWS technologiesExperience in Python/PySpark and SQLProficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native cloud services data orchestration solution.Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway.Understanding of cloud networking concepts including VPCs, subnets, security groups and cloud security best practices, including identity and access management (IAM). Securing application through role-based authorization, single sign on, and CogintoExperience with serverless computing concepts, event-driven architecture, and serverless platforms.Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform.Ability to write scripts and automate tasks using scripting languages including NodeJS and Python.Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications.Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools including AWS CodePipeline and Github. Plusses:AWS Data Engineer Associate and Solution Architect Professional Certification