
Gcp Data Engineering Professional
1 week ago
We are seeking a seasoned GCP data engineer with extensive experience in designing, developing, and optimizing scalable data pipelines and architectures on Google Cloud Platform.
Key Responsibilities:
- Design and implement highly scalable, reliable, and secure data pipelines using Google Cloud Storage, BigQuery, and Apache Airflow.
- Develop robust ETL/ELT processes using Python and integrate with data orchestration tools.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Optimize BigQuery performance through schema design, partitioning, clustering, and query optimization.
- Manage and maintain data lake and data warehouse environments ensuring data integrity and availability.
- Automate and monitor data pipelines to ensure consistent and reliable data delivery.
Requirements:
- Google Cloud Platform: In-depth experience with core services like IAM, Cloud Functions.
- BigQuery (BQ): Expertise in data modeling, performance tuning, and large-scale analytics.
- Google Cloud Storage: Strong understanding of data storage and access patterns.
- Apache Airflow: Experience in authoring and managing DAGs for complex workflows.
- Python: Proficient in scripting and automation.
Benefits include professional growth opportunities, collaboration with experienced engineers, and working on cutting-edge projects.
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