Urgent Application Owner / Senior Software Engineer (Google Cloud Platform/ Python/ Big Query)

  • North Andover, MA
  • Posted 6 days ago | Updated 6 days ago

Overview

On Site
$80,000 - $120,000
Full Time
No Travel Required

Skills

Accountability
Analytics
Data Modeling
Cloud Computing
Banking
Backend Development
Cloud Storage
Collaboration
DevOps
Financial Services
IT Service Management
Machine Learning (ML)
Google Cloud Platform
Google Cloud
Extract
Transform
Load
Management
Query Optimization
Python
Problem Solving
Performance Tuning
Google App Engine
Data Processing
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Electronic Commerce
Emerging Technologies
Good Clinical Practice
Higher Education
Insurance
Knowledge Transfer
Manufacturing
Optimization
Reporting
Retail
Scalability
Scripting
System Integration
Workflow

Job Details

Application Owner / Senior Software Engineer (Google Cloud Platform/ Python/ Big Query) -

Onsite - 1North Andover, MA

90K to 120k

Urgent Requirement -

Onsite - 1

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

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.

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