Python Developer with GCP and BigQuery Experience

Dcode Talent LLC

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profile Job Location:

North Andover, MA - USA

profile Monthly Salary: Not Disclosed
Posted on: 29 days ago
Vacancies: 1 Vacancy

Job Summary

Job Summary (List Format):

- Take full ownership of an existing cloud-native application on Google Cloud Platform (GCP) primarily using App Engine and Data Store.
- Collaborate with the current resource to understand system architecture workflows data pipelines integrations and dependencies.
- Maintain and enhance Python-based application workflows ensuring code quality scalability and performance.
- Design develop and optimize data queries and analytics with BigQuery for reporting and insights.
- Manage deployments monitoring and troubleshooting of the application in GCP.
- Identify and implement architectural improvements cost optimizations and automation opportunities.
- Ensure application uptime reliability and performance including support for production incidents.
- Serve as the main point of accountability for the application communicating with stakeholders business users and technical teams.
- Utilize strong hands-on experience with GCP services (App Engine Data Store/Firestore BigQuery).
- Apply proficiency in Python for backend development and data processing.
- Analyze and document existing systems and propose enhancements.
- Leverage strong problem-solving troubleshooting communication and collaboration skills.
- (Preferred) Experience with GCP IAM Cloud Functions Cloud Storage Pub/Sub DevOps practices and CI/CD pipelines.
- (Preferred) Background in application ownership/transition including knowledge transfer from existing teams.
Job Summary (List Format): - Take full ownership of an existing cloud-native application on Google Cloud Platform (GCP) primarily using App Engine and Data Store. - Collaborate with the current resource to understand system architecture workflows data pipelines integrations and dependencies. - Main...
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Key Skills

  • APIs
  • Docker
  • Jenkins
  • REST
  • Python
  • AWS
  • NoSQL
  • MySQL
  • JavaScript
  • Postgresql
  • Django
  • GIT