Google Cloud Platform Google Cloud Platform Data Engineer

Google Cloud Platform Google Cloud Platform Data Engineer

Posted 1 day ago by 1761736468

Negotiable
Outside
Remote
USA

Summary: We are seeking a skilled Data Engineer with a focus on Google Cloud Platform to design, build, and maintain scalable data infrastructure for business intelligence and analytics. The role requires autonomy in navigating complex challenges and driving projects to completion in a cloud environment. The ideal candidate will have extensive experience with Google Cloud services and strong programming skills. This position is remote and offers a dynamic work environment.

Key Responsibilities:

  • Design, build, and maintain scalable data infrastructure.
  • Drive business intelligence, advanced analytics, and machine learning initiatives.
  • Work autonomously and navigate complex challenges.
  • Utilize Google Cloud Platform services for data management.
  • Optimize data ingestion and performance in a petabyte-scale environment.
  • Implement data pipeline orchestration using relevant tools.
  • Automate deployment and testing processes using CI/CD practices.

Key Skills:

  • Extensive hands-on experience with Google Cloud Platform services.
  • Expert-level skills in BigQuery for data ingestion and optimization.
  • Proficiency in Python and relevant data engineering libraries.
  • Strong command of advanced SQL for complex querying.
  • Experience with workflow management and orchestration tools.
  • Familiarity with version control (Git) and CI/CD tools.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Cloud Platform Expertise (Google Cloud Platform Focus) Data Engineer
Location: Remote
Duration: 6+ months

This role has 4 open positions.

Role Summary
We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.


Required Skills and Experience
Cloud Platform Expertise (Google Cloud Platform Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (Google Cloud Platform) services, specifically:
BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
Experience with other relevant Google Cloud Platform services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
Programming & Querying:
Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.