Google Cloud Platform Data Engineer

Job Title: Google Cloud Platform Data Engineer

Location: Issaquah, WA-Local Only
Employment Type: Contract

Job Summary

We are seeking a highly skilled Google Cloud Platform Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on the Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong experience in data engineering, ETL/ELT processes, data warehousing, and big data technologies, with expertise in Google Cloud Platform services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines on Google Cloud Platform.
• Build and maintain ETL/ELT processes for ingesting, transforming, and loading large datasets.
• Develop and manage data solutions using BigQuery, Dataflow, Dataproc, Cloud Composer, and Cloud Storage.
• Integrate data from multiple sources including APIs, databases, flat files, and streaming platforms.
• Implement batch and real-time data processing solutions.SA
• Optimize data models, SQL queries, and cloud resources for performance and cost efficiency.
• Work closely with Data Architects, Data Scientists, Business Analysts, and application teams.
• Ensure data quality, governance, security, and compliance standards are met.
• Monitor and troubleshoot data pipelines and production issues.
• Support cloud migration and modernization initiatives.

Required Skills

• 7+ years of experience in Data Engineering.
• 3+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Strong experience with:
  • BigQuery
  • Dataflow
  • Dataproc
  • Cloud Storage
  • Pub/Sub
  • Cloud Composer (Airflow)
• Strong SQL and data modeling skills.
• Experience developing ETL/ELT pipelines.
• Proficiency in Python, PySpark, or Java.
• Experience with Apache Spark and distributed data processing.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with Git, CI/CD pipelines, and DevOps practices.
• Strong understanding of cloud security and IAM concepts.