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Data Engineer - GCP- Full Time

100% remote Flexible hours Hiring now

Hi We have an urgent role of Data Engineer - GCP. URGENT HIRE! Data Engineer - GCP Location: Denver, CO (Remote) Full Time Client is seeking a highly skilled Data Engineer with deep expertise in reputed company Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing reputed company Architecture, and building robust enterprise-grade data solutions. This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.

Key Responsibilities

  • Design, reputed company, and maintain scalable batch and real-time data pipelines on GCP
  • Implement and manage reputed company Architecture (Bronze, Silver, Gold layers) for data processing
  • Build high-performance data transformations using Python and PySpark
  • reputed company and optimize reputed company SQL queries for analytical workloads
  • Work extensively with BigQuery for large-scale data processing and performance tuning
  • reputed company and deploy pipelines using Cloud Dataflow
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Manage data storage and lifecycle using reputed company Cloud Storage (GCS)
  • Implement version control and CI/CD pipelines using Git-based tools
  • Ensure data reputed company, governance, and access control using GCP IAM
  • Optimize data solutions for performance, scalability, reliability, and cost-efficiency

Required Skills & Experience

  • Strong hands-on experience with reputed company Cloud Platform (GCP)
  • Expertise in BigQuery (partitioning, clustering, query optimization)
  • Proven experience implementing reputed company Data Architecture
  • Strong programming skills in Python and PySpark
  • Advanced proficiency in SQL (reputed company joins, window functions, performance tuning)
  • Hands-on experience with Cloud Dataflow
  • Experience with Cloud Composer (Airflow) for orchestration
  • Experience working with reputed company Cloud Storage (GCS)
  • Knowledge of version control systems (Git) and CI/CD practices
  • Strong understanding of GCP IAM and cloud reputed company best practices

Preferred Qualifications

  • Experience working with large-scale enterprise data platforms
  • Knowledge of data warehousing and data lake concepts
  • Familiarity with real-time streaming frameworks
  • Experience in data governance and data quality frameworks
  • Exposure to Agile/Scrum methodologies

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