Data Engineer - GCP- Full Time
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 Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion 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
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Design, develop, and maintain scalable batch and real-time data pipelines on GCP
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Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
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Build high-performance data transformations using Python and PySpark
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Develop and optimize complex SQL queries for analytical workloads
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Work extensively with BigQuery for large-scale data processing and performance tuning
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Develop and deploy pipelines using Cloud Dataflow
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Orchestrate workflows using Cloud Composer (Apache Airflow)
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Manage data storage and lifecycle using Google Cloud Storage (GCS)
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Implement version control and CI/CD pipelines using Git-based tools
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Ensure data security, governance, and access control using GCP IAM
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Optimize data solutions for performance, scalability, reliability, and cost-efficiency
Required Skills & Experience
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Strong hands-on experience with Google Cloud Platform (GCP)
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Expertise in BigQuery (partitioning, clustering, query optimization)
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Proven experience implementing Medallion Data Architecture
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Strong programming skills in Python and PySpark
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Advanced proficiency in SQL (complex joins, window functions, performance tuning)
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Hands-on experience with Cloud Dataflow
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Experience with Cloud Composer (Airflow) for orchestration
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Experience working with Google Cloud Storage (GCS)
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Knowledge of version control systems (Git) and CI/CD practices
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Strong understanding of GCP IAM and cloud security best practices
Preferred Qualifications
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Experience working with large-scale enterprise data platforms
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Knowledge of data warehousing and data lake concepts
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Familiarity with real-time streaming frameworks
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Experience in data governance and data quality frameworks
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Exposure to Agile/Scrum methodologies
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