Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
API
Agile
AngularJS
Apache Beam
Artificial Intelligence
Batch Processing
Big Data
Build Management
Business Intelligence
Cascading Style Sheets
Collaboration
Continuous Delivery
Continuous Integration
Continuous Integration and Development
Dashboard
Data Flow
Data Lake
Data Management
Data Warehouse
ELT
Extract
Transform
Load
Fortify
GCS
Good Clinical Practice
Google Cloud Platform
GraphQL
HTML
Healthcare Information Technology
JDK
JIRA
Java
JavaScript
Jenkins
Management
Microservices
Operations Management
Roadmaps
Sass
Sonar
Spring Framework
Sprint
Streaming
Supervision
Technical Writing
Terraform
TypeScript
UI
Unigraphics NX
User Experience
Vertex
Web Portals
Web Services
WebSocket
Job Details
Sr Full stack Developer with Google Cloud Platform, Apache Beam, Dataflow, CICD, SpringBoot, Microservices, Webservices, Batch Processing, Bigdata -Alpharetta, GA - (Face to Face Interview-Day1 onsite role)
Must have skills :
- Apache Beam, Dataflow, Google Cloud Platform, CICD, SpringBoot, Microservices, Webservices, Batch Processing, Bigdata Development,
- Seeking an experienced, resourceful, full stack engineer who can adapt and hit the ground running with minimal supervision.
- This individual will be passionate about end-user experience and best-in-class engineering excellence and will be part of a tight-knit, distributed engineering team developing and delivering a comprehensive data operations management solution
Data operations management solution consists of:
- A web portal UI/UX that provides a single point of access to all data management and data reliability engineering
- A suite of backend API services that services the UI and integrates with low-level Data Fabric and other third-party system APIs
- Modern data lakehouse (data lake, data warehouse, batch and streaming ELT pipelines)
- The data operations roadmap envisions a set of rich management capabilities including:
- Serves a large community of geographically dispersed data operations stakeholders
- Data quality and observability management to detect, alert, and prevent data anomalies
- Troubleshooting, triaging and resolving data and data pipeline issues
- OLAP, batch and streaming big data processing, and BI reporting
- MLOps
- Real-time dashboards, alerting and notifications, case management, user/group management, AuthZ, and many other foundational capabilities
Tech Stack
- Frontend: Angular 17+, JavaScript, TypeScript, HTML, SCSS, Webpack Module Federation, Tailwinds CSS, Angular Material, Angular Elements
- Backend: Java (JDK 17+), Spring Framework 6.X.X, Spring Boot 3.X.X, NestJS 10.X.X, REST and GraphQL microservices, NodeJS
- Tools & Frameworks: Nx build management, Monorepo architecture, Jenkins CI/CD, Fortify, Sonar, GitHub
- Cloud & Data: Google Cloud Platform (GKE, Composer + Airflow, Dataflow + Apache Beam, BigQuery, BigTable, Firestore, GCS, PubSub, Vertex AI), Terraform, Helm Charts, GitOps
- Other Technologies: Websockets, SSE, event-driven architecture
Environment
- Culture: Fast-paced, creative, results-oriented
- Team Structure: Agile, working in 2-week sprints using Aha and Jira for project management
- Expectations: Self-starters who can work independently with limited guidance, delivering solutions that end-users value and love
Responsibilities
- End-to-End Development: Design, develop, test, deploy, and operate software applications, covering both frontend and backend
- Cross-Functional Work: Collaborate with global teams to integrate with existing internal systems and Google Cloud Platform cloud
- issue Resolution: Triage and resolve product or system issues, ensuring quality and performance
- Documentation: Write technical documentation, support guides, and run books
- Agile Practices: Participate in sprint planning, retrospectives, and other agile activities
- Compliance: Ensure software meets secure development guidelines and engineering standard
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.