FullStack Developer

Stefanini
Dearborn, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Dearborn, United States of America

Tech stack

Java
JavaScript
API
Data analysis
Batch Processing
Google BigQuery
Cloud Computing
Code Coverage
Software Quality
Databases
Continuous Integration
Data Governance
Data Masking
Data Security
Data Systems
Software Debugging
Data Flow Control
Github
Design of User Interfaces
Python
PostgreSQL
MySQL
Node.js
NoSQL
Systems Development Life Cycle
Role-Based Access Control
Service-Oriented Architecture
Software Engineering
Data Streaming
Google Cloud Platform
React
Spring-boot
Backend
GIT
Angular
Google Cloud Functions
Kafka
Data Management
Front End Software Development
REST
Terraform
Data Pipelines
Apache Beam
Microservices

Requirements

We are looking for a platform software Engineer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. 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.

ResponsibilitiesDesign and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on Google Cloud Platform. Service-Oriented Architecture (SOA) and Microservices: 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 Google Cloud Platform 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 Google Cloud Platform's native row- and column-level security features. Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

Experience Required5+ years of experience in software development (Java/Python) 3+ years of experience with Google Cloud Platform (BigQuery, Dataflow, Dataproc) 3+ years of experience building microservices and REST APIs 2+ years of experience with data pipelines and streaming technologies (Apache Beam, Kafka) Experience with full-stack development (React/Node.js or similar) Hands-on experience with CI/CD, Terraform, and cloud deployments Strong experience with relational and NoSQL databases

Experience PreferredProficiency in Java or Python, along with Angular or other JavaScript frameworks, with experience designing and deploying cloud-based data pipelines and microservices using Google Cloud Platform tools such as BigQuery, Dataflow, and Dataproc. Ability to leverage modern data platform technologies (e.g., Apache Beam, Kafka) to build platform features and design/orchestrate services that enable scalable data platform capabilities. Strong understanding of Service-Oriented Architecture (SOA) and microservices, with hands-on experience developing scalable services using Java Spring Boot, Python, Angular, and Google Cloud Platform technologies. Full-stack development experience, with knowledge of both front-end and back-end technologies (e.g., React, Node.js) to support data access and visualization layers. Experience designing and developing RESTful APIs for seamless integration across platform services. Ability to implement robust unit and functional testing to ensure high code quality and test coverage. Database experience with relational (PostgreSQL, MySQL), NoSQL, and columnar databases such as BigQuery. Understanding of data governance and security practices, including RBAC, encryption, and data masking in cloud environments. Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools such as Terraform, and automation frameworks. Experience managing code using GitHub, with strong troubleshooting and debugging skills. Strong problem-solving and analytical skills, with the ability to resolve complex data platform and microservices issues.

Skills RequiredJava, Python, Google Cloud Platform, Big Query, NoSQL, React

Skills PreferredApache, KAFKA

Education RequiredBachelor's Degree

About the company

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

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