What are the responsibilities and job description for the Python Developer with Google Cloud Platform and BigQuery :: Full-Time :: Onsite position at 1 Point System?
Job Details
Python Developer with Google Cloud Platform and BigQuery Experience
Location: North Andover, MA (Relocation is fine) (Onsite)
Duration: Fulltime
Video Interview
Need to close in Next week
Job Description
Role Overview
We are seeking a highly skilled professional with expertise in Google Cloud Platform (Google Cloud Platform), App
Engine, Data Store, Python, and BigQuery. The candidate will take ownership of an existing
application, gaining a deep understanding of its architecture, workflows, and data pipelines, and ensure
smooth transition and continuity from the current resource.
This role requires a mix of strong technical expertise and application ownership mindset someone
who can understand the application end-to-end, support ongoing operations, optimize performance,
and drive enhancements.
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.
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)
BigQuery (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
Requirements
Role Overview
We are seeking a highly skilled professional with expertise in Google Cloud Platform (Google Cloud Platform), App
Engine, Data Store, Python, and BigQuery. The candidate will take ownership of an existing
application, gaining a deep understanding of its architecture, workflows, and data pipelines, and ensure
smooth transition and continuity from the current resource.
This role requires a mix of strong technical expertise and application ownership mindset someone
who can understand the application end-to-end, support ongoing operations, optimize performance,
and drive enhancements.
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.
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)
BigQuery (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
