
Cloud-Based Data Infrastructure Specialist
2 weeks ago
Design and develop scalable, cloud-based data pipelines and infrastructure to power analytics, automation, and AI initiatives.
- Architect and build systems: Design and lead the implementation of scalable, cloud-based data pipelines and infrastructure.
- Manage cloud environments: Own and operate data infrastructure on cloud platforms—preferably Google Cloud Platform (GCP).
- Develop pipelines: Build and manage data pipelines from first-party and third-party sources, ensuring data integrity and performance.
Work closely with cross-functional teams—including product, engineering, and data science—to ensure high-quality, accessible, and reliable data pipelines and platforms.
The ideal candidate should have 10+ years of experience in data engineering and cloud infrastructure, with 2+ years in a senior or lead role. They should also have advanced proficiency in SQL and Python, hands-on experience with cloud data warehouses like BigQuery, Snowflake, or Redshift, and strong expertise in cloud architecture, especially on GCP.
A solid understanding of MLOps workflows and tools, experience with CI/CD practices in data environments, and strong communication and collaboration skills are also required.
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