
Cloud Native Data Solutions Architect
10 hours ago
Data Engineer Role
- Job Title: Data Engineer – Google Cloud Platform (GCP)
We're seeking a skilled and motivated Data Engineer with hands-on experience in building scalable data pipelines and cloud-native data solutions on GCP. The ideal candidate will be proficient in GCP services like Pub/Sub, Dataflow, Cloud Storage, and BigQuery, with a foundational understanding of AI/ML workflows using Vertex AI.
Key Responsibilities
- Design, Develop, and Optimize Robust Data Ingestion Pipelines
- Architect and Manage Scalable BigQuery Data Warehouses
- Collaborate with Data Scientists and ML Engineers to Support AI/ML Workflows
- Ensure Data Quality, Reliability, and Performance
- Work Closely with Cross-Functional Teams to Understand Data Requirements
- Maintain Documentation and Contribute to Best Practices
Required Skills & Qualifications
- 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.
Secondary Skills (Interview-Ready Knowledge)
- 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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