GCP Data Engineer

Job Qualifications & Skills

Domain

• - Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
• BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
• Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

-Programming & Querying:

• Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
• SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
• -Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
• -DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.
• Soft Skills
• - Excellent communication
• - Team collaboration
• - Documentation and knowledge sharing
• Education Requirements
• Bachelor's/Master’s in Computer Science or equivalent (can be marked optional or flexible)
• Certifications
• GCP Data Engineer