
Senior Cloud Data Specialist
5 days ago
Job Summary
We are seeking a skilled and experienced Cloud Data Engineer to design, develop, and optimize robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
Key Responsibilities
- Design and implement scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
- Collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI, including model training and deployment.
- Ensure data quality, reliability, and performance across all pipeline components.
- Work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
Required Skills & Qualifications
- 3–6 years of experience in cloud 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.
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.
Benefits
The ideal candidate will have a solid understanding of cloud data engineering principles and be proficient in GCP services. We offer a competitive compensation package and opportunities for professional growth and development.
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