Offer summary

Qualifications:

Expertise in developing AWS full stack applications with Python and NodeJS., Strong proficiency in data services orchestration and cloud platforms., Experience with serverless computing concepts and event-driven architecture., Understanding of cloud networking and security best practices, including IAM..

Key responsabilities:

Collaborate with stakeholders to translate business requirements into actionable solutions.

Design and develop scalable data service components using cloud-native technologies.

Set up and maintain CI/CD pipelines for automated deployments and updates.

Ensure compliance with security policies through thorough testing and quality assurance.

Job description

Ark Solutions Inc is looking for Senior Full Stack Developer - Data Engineering Focused!

Position: Senior Full Stack Developer - Data Engineering Focused
Location: REMOTE
Duration: 3+ Months and possibility of extension

Description:
Seeking a highly skilled Senior Full Stack Developer with advanced expertise in building AWS/React/NodeJS micro frontend applications and APIs. This role involves implementing technology solutions that enhance business decision-making and processes across all business units, in alignment with the architectural roadmap and enterprise goals.

The Full Stack Developer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud-based infrastructure and applications. 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 skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs etc., adherence to software engineering best practices, and alignment with the 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.

Day-to-day Responsibilities:

Collaborate with stakeholders to understand business requirements and convert them into actionable solution components aligned with 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.
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:

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.
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 Code Pipeline 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 organization.

Additional Considerations:

AWS Data Engineer Associate and Solution architect Professional Certification is desired.

Skills	Required / Desired	Experience
Command on Python languages and experience working with data platform like Data bricks	Required	10 Years
Knowledge of data lake and hands on experience building data lake in cloud.	Required	10 Years
Strong proficiency in cloud platforms, leveraging native cloud services for micro front-end orchestration solution.	Required	8 Years
Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway.	Required	8 Years
Understanding of cloud networking concepts including VPCs, security groups and cloud security best practices, including identity and IAM.	Required	8 Years
Data Engineering in AWS including Glue, Athena and related service experience.	Required	8 Years
Experience with serverless computing concepts, event-driven architecture, and serverless platforms.	Required	8 Years
Expert in AWS full-stack development with node.js and React, creating tested workflows from business requirements.	Required	6 Years
Ability to write scripts and automate tasks using scripting languages including NodeJS and Python.	Required	8 Years
Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications.	Desired	8 Years
Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools	Desired	8 Years
AWS Solution architect Professional Certification is desired.	Desired