Cloud Data Engineer/Fullstack Developer (W2 EST Candidates Only)

Cloud Data Engineer/Fullstack Developer

Intermediate, Proficient in AWS Data Engineering, works with limited or no guidance

100% Remote

$60 per hour W2

Need FULLSTACK DEVELOPERS ONLY

NOTE: NO DEVOPS RESUME PLEASE

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, react
js , python etc., , adherence to software engineering best practices, appreciation to data management
principle 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.
Additional responsibilities include:
Collaborate with stakeholders to understand business requirements and convert them into actionable solution components aligned with DBHDS s Enterprise Solution architecture patterns, procedures, and policies.
Design and develop scalable, resilient data service components and engineering solutions using cloud-native services and technologies.
Develop data lakes and CDC services to create cohesive applications within cloud and hybrid infrastructures.
Create comprehensive solution documentation detailing the design, testing, and production support processes and procedures.
Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate updates and feature deployments.
Design and develop cloud-native micro frontend applications and data service APIs using AWS, React, and NodeJS.
Build data quality monitoring dashboards and tools to support data stewardship and policy
compliance.
Implement data classification and retention logic using metadata tagging, lifecycle policies, and automation.
Develop secure user portals with role-based access control (RBAC), Single Sign-On (SSO), and integration with AWS Cognito.
Enable workflow automation for data intake, validation, approval, and archival processes.
Create and maintain solution documentation, including architecture diagrams, data flow, testing, and support procedures.
Ensure solution completeness through thorough testing and quality assurance processes, ensuring compliance with security policies and best practices.
Manage configuration drift and ensure consistency across different environments, using tools like AWS Code Build/Deploy and AWS CloudFormation.
Apply DevOps principles to streamline the software development lifecycle (SDLC) and enhance automation.
Deploy solutions to various environments, establish monitoring processes, and ensure ongoing operational stability and application resiliency through system stress testing and feature enhancements.
Collaborate with cross-functional teams to understand change requirements, provide technical expertise, and ensure solutions align with business needs.

Qualifications include:
Expertise in developing AWS full stack applications: Translate business requirements into fully tested applications workflows by designing, implementing, and maintaining technology assets using approved tools and plugins for AWS for python.
Proficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native cloud services data orchestration solution.
API Development: Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway.
Cloud Networking and Security: 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 Coginto. for user and access management from Data services API and products
Serverless Computing: Experience with serverless computing concepts, event-driven architecture, and serverless platforms.
Infrastructure as Code (IaC): Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform.
Scripting and Automation: Ability to write scripts and automate tasks using scripting languages including NodeJS and Python.
Experience with data quality frameworks, data validation, and anomaly detection.
Familiarity with data classification models, metadata management, and retention policies.
Ability to write scripts and automation using Python and NodeJS.
Monitoring and Logging: Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications.
DevOps Practices: Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools including AWS CodePipeline and Github.
End-User Training and Support: Provide support and training to end-users for improved solution literacy and tool usage in a cloud ecosystem.
Business Process Automation: Analyze business process life cycles to identify opportunities for automation and simplification, implementing appropriate solutions.
Collaboration and Communication: Collaborate with product and business owners to deliver robust cloud-based solutions, demonstrating excellent communication skills (both written and verbal).
Compliance: Adhere to all policies and procedures of the Agency.

Additional Considerations:
AWS Data Engineer Associate and Solution architect Professional Certification is desired.
Familiarity with data governance frameworks such as DAMA-DMBOK or NIST Data Management