
Senior Cloud Data Specialist
6 days ago
Job Title: Data Engineer
About the Role:
We are seeking a seasoned data engineer with hands-on expertise in crafting scalable data pipelines on Google Cloud Platform. This role involves collaborating closely with cross-functional teams to identify and deliver efficient solutions that meet our data-driven needs.
Main Responsibilities:
- Design, develop, and optimize robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
- Develop and manage scalable BigQuery data warehouses to support analytics, reporting, and business intelligence requirements.
- Collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI, including model training and deployment.
- Evaluate data quality, reliability, and performance across all pipeline components.
Requirements:
- 4–7 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.
Nice-to-Have Skills:
- Basic knowledge of AI/ML workflows and tools within Vertex AI.
- Awareness of MLOps principles and cloud-based ML orchestration.
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