Full Stack Developer

Stefanini Group•Dearborn, MI

11h•Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a FullStack Developer (Dearborn, MI) For quick apply, please reach out to Fardeen Ali at 248-582-6473/[email protected] We are seeking a highly motivated full stack developer to join our Observability team. As a Software Engineer on our Platform Observability team, you will be at the heart of our engineering ecosystem. A platform software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. Generally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform. With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently.

Requirements

GCP
Angular
Java
Python
6+ Years of experience in IT including 4+ years of experience in development.
Solid understanding of the SDLC
Hands-on experience in Git and CI/CD

Responsibilities

Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
Implement and manage data governance, access controls, and security best practices while leveraging GCP's native row- and column-level security features.
Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.