
Cloud Data Engineering Specialist
5 days ago
Google Cloud (GCP) Data Engineer
Key Responsibilities:
- Develop and implement scalable data pipelines on GCP using BigQuery, GCS, and Airflow.
- Design robust ETL/ELT processes in Python, integrating with data orchestration tools such as Apache Airflow.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Optimize BigQuery performance through efficient schema design, partitioning, clustering, and query optimization techniques.
- Manage and maintain data lake and warehouse environments ensuring data integrity and availability.
- Automate and monitor data pipelines for consistent and reliable data delivery.
- Contribute to architecture decisions and ensure adherence to data governance and security standards.
- Support junior engineers in best practices for data engineering and cloud usage.
Required Skills:
- Google Cloud Platform (GCP): In-depth expertise in core services like GCS, BigQuery, IAM, and Cloud Functions.
- BigQuery: Expertise in data modeling, performance tuning, and large-scale analytics.
- Google Cloud Storage (GCS): Strong understanding of data storage access patterns and integration.
- Apache Airflow: Experience in authoring and managing DAGs for complex workflows.
- Python: Proficiency in scripting and automation, including working with APIs, data processing libraries, and custom operators in Airflow.
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