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Google Cloud Platform Data Engineer

Atlanta, GA, US • Posted 12 hours ago • Updated 12 hours ago

Full Time

No Travel Required

Able to Sponsor

On-site

Depends on Experience

Fitment

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Job Details

Skills

Google Cloud
GCP
Apache Airflow
ELT
"Composer"
"Python"
Google Cloud Platform

Summary

Role: Google Cloud Platform Data Engineer
Location: Johns Creek, Atlanta, GA (Hybrid - 3 Days On-site )
Compensation: $60.00/hr on W2
Fulltime ; W2 candidate only .
Duration: 6 Months

Position Overview
Seeking an Enterprise Google Cloud Platform Data Engineer with 10+ years of comprehensive experience to design, construct, and optimize high-throughput data pipelines and warehousing environments. This role focuses on scaling modern ELT/ETL pipelines, structuring complex multi-tier data models, and orchestrating serverless workflows using the Google Cloud Platform (Google Cloud Platform) ecosystem.

Key Responsibilities
* Data Pipeline Architecture: Design, implement, and maintain highly scalable, secure, and cost-optimized batch and real-time streaming data pipelines using Google Cloud Platform Dataflow and Dataproc.
* Data Warehousing & Modeling: Author enterprise-grade data warehouse schemas, partition tables, and optimize complex analytical query paths within Google BigQuery.
* Workflow Orchestration: Code, schedule, and monitor robust Directed Acyclic Graphs (DAGs) using Apache Airflow managed inside Google Cloud Composer.
* Event Streaming & Ingestion: Engineer event-driven data ingestion fabrics and asynchronous processing layers using Google Cloud Pub/Sub and Cloud Storage.
* Data Quality & Governance: Enforce data quality frameworks, structural privacy controls, and security standards to properly safeguard downstream analytics and data science workloads.
* CI/CD Automation: Establish continuous integration and automated pipeline delivery models using GitHub and Jenkins build structures.
* Cross-Functional Collaboration: Partner actively across distributed onsite and offshore business teams to translate data science requirements into functional, low-latency target models.

Required Skillset
* Experience: 10+ years of total professional data engineering and warehousing experience, featuring 8+ years focused in ETL/ELT environments, and 5+ years building production-live pipelines.
* Google Cloud Platform Infrastructure Mastery: Advanced hands-on implementation experience using Google Cloud data technologies: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
* Orchestration Tooling: Solid background developing and scheduling workflows using Apache Airflow or Cloud Composer DAG configurations.
* Programming & Querying: Exceptional command writing advanced SQL queries paired with strong programming proficiency in Python or Java.
* DevOps Engineering: Practical familiarity working with CI/CD automation tools, specifically GitHub repositories and Jenkins pipelines.
* Nice to Have: Prior functional exposure or project history working within the Retail domain.

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.

Dice Id: 10117479
Position Id: 9014345
Posted 12 hours ago

Contact the job poster

Raja Panchal

Recruiter @ ASCII Group LLC

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