Logo for Global Channel Management, Inc.

Remote Data Engineer

Global Channel Management, Inc.

Role overview

Qualifications

  • 10 years experience
  • Must be local top Santa Clara
  • Extensive hands-on experience in cloud environments with GCP focus
  • Expert-level skills in Python and advanced SQL

Responsibilities

  • Design, implement, and optimize analytical datasets for reporting and data science
  • Architect, build, and maintain scalable data pipelines
  • Implement and support Big Data solutions for batch and streaming analytics
  • Collaborate with product managers and business teams to understand data requirements

About the company

Global Channel Management, Inc. logo

Global Channel Management, Inc.

Staffing & Recruiting

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. Our account managers will assist in managing fluctuating skill needs, gaps and changing staffing needs to meet a company's need and timelines. GCM is also a hardware and software company that works hard to align companies and individuals with the right products or services to meet their needs.

Company details

Company typeTPE
IndustryStaffing & Recruiting
Company size11 - 50

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Job description

Remote Data Engineer needs 10 years experience

Remote Data Engineer requires:

Must be local top Santa Clara

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:

BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.

Experience with other relevant GCP 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.

DevOps/CI/CD, Data Pipeline Orchestration:, SQL, Cloud Platform Expertise (GCP Focus):, Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

Remote Data Engineer duties:

Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.

Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics

Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.

Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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