
Cloud Data Engineering Specialist
2 weeks ago
Cloud Data Engineering Specialist
About the RoleWe are seeking a highly experienced Cloud Data Engineer to design, build and optimize scalable data pipelines and architectures on Google Cloud Platform (GCP).
- Key Responsibilities:
- Design and implement highly scalable, reliable and secure data pipelines on GCP using GCS, BigQuery and Airflow.
- Develop robust ETL/ELT processes using Python and integrate with data orchestration tools (e.g., Airflow).
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Optimize BigQuery performance through efficient 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.
- Contribute to architecture decisions and ensure adherence to data governance and security standards.
Must-Have Skills
- Google Cloud Platform (GCP): In-depth experience with core services like GCS, BigQuery, IAM and Cloud Functions.
- BigQuery (BQ): 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: Proficient in scripting and automation, including working with APIs, data processing libraries (e.g., pandas, PySpark) and custom operators in Airflow.
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