Python Full Stack Developer

Stefanini Group•Dearborn, MI

6d•Onsite

About The Position

Stefanini Group is hiring a Python FullStack Developer for their Platform Observability team. The role involves championing modern telemetry standards, building data pipelines for metrics, logs, and traces, and creating tooling for issue detection and resolution. 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. Platform engineers can be backend engineers who design and implement microservices with robust APIs, or full-stack engineers who deliver native UI/UX solutions and develop frameworks and services to enable an enterprise data platform.

Requirements

Minimum 5 years of experience as a Software Engineer
Proficient in Python with minimum 5 years of experience.
Minimum 1-year experience with Angular, React or Vue
Minimum 3-year experience with GCP, Azure or AWS Cloud platforms
Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc.
Ability to leverage best in-class data platform technologies to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities.
Strong understanding of SOA, microservices, and their application within a cloud data platform context.
Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js).
Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery.
Must possess excellent SQL skills, including query optimization and data manipulation.
Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments.
Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks.
Manage code changes with GitHub and troubleshoot and resolve application defects efficiently.
Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues.
Bachelor's Degree

Nice To Haves

Java experience will be a plus.
GCP experience preferred
GCP Data Engineer Certification
GCP Professional Cloud Certification

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.
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.
Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies.
Design and develop RESTful APIs for seamless integration across platform services.
Implement robust unit and functional tests to maintain high standards of test coverage and quality.
Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases.