Python Developer with GCP and BigQuery Experience

Job description

Python Developer with GCP and BigQuery Experience

Location: North Andover, MA (Relocation is fine) (Onsite)

Duration: Fulltime

Client: Confidential

Rate: $90K-$140K

VISA: USC, GC

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 (GCP), 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 GCP 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 (GCP).

- 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 (GCP) 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 GCP IAM, Cloud Functions, Cloud Storage, or Pub/Sub.

- Familiarity with DevOps practices and CI/CD pipelines on GCP.

- 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 (GCP), 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 GCP 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 (GCP).

- 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 (GCP) 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 GCP IAM, Cloud Functions, Cloud Storage, or Pub/Sub.

- Familiarity with DevOps practices and CI/CD pipelines on GCP.

- Background in application ownership/transition, including knowledge transfer from existing teams

Required Skill Profession

Other General