Global Channel Management, Inc.
Recruitment • B2B • SaaS
Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.
Data Engineer
Job not on LinkedIn
November 4
Global Channel Management, Inc.
Recruitment • B2B • SaaS
Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.
📋 Description
• 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.
🎯 Requirements
• 10 years experience • Cloud Platform Expertise (GCP Focus) • Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment • Expert-level programming proficiency in Python • A solid command of advanced SQL for complex querying, data processing, and performance tuning. • Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar) • Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes
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