Cloud Data Architect
7 days ago
We are seeking a skilled and motivated professional to design, develop, and optimize robust data ingestion pipelines using cloud services such as Google Pub/Sub, Dataflow, and Cloud Storage. The ideal candidate will be proficient in managing scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
- The selected individual will collaborate with cross-functional teams to understand data requirements and deliver efficient solutions. Additionally, they will maintain documentation and contribute to best practices in cloud data engineering.
Key Responsibilities:
Data EngineeringDesign, develop, and optimize robust data ingestion pipelines
- Build scalable BigQuery data warehouses for analytics, reporting, and business intelligence needs.
- Collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI (AO Vertex).
- 3-6 years of experience in data engineering, with strong exposure to GCP services.
- Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
- Solid understanding of data modeling, ETL/ELT processes, and performance optimization.
- Experience with Python, SQL, and cloud-native development practices.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Basic understanding of AI/ML workflows and tools within Vertex AI.
- Ability to discuss model lifecycle, deployment strategies, and integration with data pipelines.
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