
Cloud Data Specialist
1 day ago
A cloud data specialist is required to design, develop, and optimize robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
- This role involves architecting and managing scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
- The ideal candidate will collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI, including model training and deployment.
- Data quality, reliability, and performance across all pipeline components are crucial in this position.
- Candidates should be able to work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
- Maintenance of documentation and contribution to best practices in cloud data engineering are also essential.
- At least 3–6 years of experience in data engineering, with strong exposure to GCP.
- 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).
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- Basic understanding of AI/ML workflows and tools within Vertex AI.
- Ability to discuss model lifecycle, deployment strategies, and integration with data pipelines.
- Awareness of MLOps principles and cloud-based ML orchestration.
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Data Cloud Specialist
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Cloud Data Specialist
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Cloud Data Specialist – Oil
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Cloud Data Engineering Specialist
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Cloud Engineering Specialist
4 days ago
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Cloud Data Specialist
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Cloud Integration Specialist
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Data Transformation Specialist
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Cloud Infrastructure Specialist
1 day ago
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Cloud Database Specialist
2 days ago
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