Overview
Hybrid
Depends on Experience
Full Time
Skills
Continuous Integration
Collaboration
Communication
Extract
Transform
Load
Good Clinical Practice
Google App Engine
Google Cloud
Performance Tuning
Problem Solving
Google Cloud Platform
Knowledge Transfer
Mergers and Acquisitions
Optimization
Continuous Delivery
Conflict Resolution
Data Modeling
System Integration
Data Processing
Accountability
Python
Management
Analytics
Backend Development
Cloud Computing
DevOps
Query Optimization
Cloud Storage
Reporting
Scalability
Scripting
Workflow
Python Developer
GCP
BigQuery
Job Details
Position: Python Developer (Google Cloud Platform & BigQuery)
Location: North Andover, MA (Hybrid Model)
Job Type: Full Time
Required Skills & Experience:
- Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) services, particularly:
- App Engine (application deployment, scaling, monitoring).
- Cloud Datastore / Firestore (data modeling, indexing, query optimization).
- Big Query (ETL, complex queries, performance tuning).
- Proficiency in Python for backend development, data processing, and scripting.
- Good understanding of application integration patterns, APIs, and data pipelines.
- Ability to analyze existing systems quickly, document them, and propose enhancements.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills to work with business and technical stakeholders.
Preferred Qualifications:
- Experience with Google Cloud Platform IAM, Cloud Functions, Cloud Storage, or Pub/Sub.
- Familiarity with DevOps practices and CI/CD pipelines on Google Cloud Platform.
- Background in application ownership/transition, including knowledge transfer from existing teams
Key Responsibilities:
- Take full ownership of an existing cloud-native application hosted on Google Cloud Platform App Engine and Data Store.
- Collaborate with the current resource to understand the system s design, data model, integrations, and dependencies.
- Maintain and enhance application workflows written in Python, ensuring code quality, scalability, and performance.
- Design, develop, and optimize queries and analytics using BigQuery for reporting and data insights.
- Manage deployments, monitoring, and troubleshooting in Google Cloud Platform (Google Cloud Platform).
- Identify opportunities for improvements in architecture, cost optimization, and automation.
- Ensure application uptime, performance, and reliability, including support for production incidents.
- Act as the single point of accountability for the application, liaising with stakeholders, business users, and other technical teams.
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.