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1 day ago
We are seeking an accomplished data architect to lead the development of scalable data pipelines and cloud-native data solutions. The ideal candidate will have hands-on experience in designing, developing, and optimizing robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
- Design and develop efficient data architectures to support analytics, reporting, and business intelligence needs.
- Collaborate with data scientists and ML engineers to integrate AI/ML workflows using Vertex AI.
- Work closely with cross-functional teams to understand data requirements and deliver optimal solutions.
Requirements:
- 6+ years of experience in data engineering with a strong focus on GCP.
- Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
- Deep understanding of data modeling, ETL/ELT processes, and performance optimization.
- Experience with Python, SQL, and cloud-native development practices.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Secondary Skills:
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Basic understanding of AI/ML workflows and tools within Vertex AI.
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