onsite
Google Data Specialist - Logic, Inc.
Software Engineer
Lead data architecture initiatives on Google Cloud, driving real‑time analytics and AI solutions with BigQuery, Looker, Vertex AI, and Gemini models. Leverage deep expertise in data engineering, analytics, and machine learning to modernize data ecosystems for enterprise clients.
About the role
Key Responsibilities
- Architect and implement end‑to‑end data pipelines on Google Cloud, utilizing BigQuery, Cloud Storage, and Dataflow to support real‑time analytics.
- Design and deploy Looker dashboards and data visualizations that translate complex datasets into actionable insights for stakeholders.
- Develop and manage Vertex AI models, including training, tuning, and deployment of Gemini Foundation Models for advanced AI use cases.
- Collaborate with cross‑functional teams to define data governance, security, and compliance standards across the data ecosystem.
- Mentor and guide junior engineers, fostering best practices in data engineering, analytics, and machine learning.
Requirements
- 5+ years of experience in data engineering, analytics, or machine learning within a cloud environment.
- Proven expertise with Google Cloud Platform services, especially BigQuery, Looker, Vertex AI, and Gemini models.
- Strong programming skills in Python or SQL, with experience building scalable data pipelines.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
- Experience with data governance, security, and compliance frameworks is a plus.
Skills
lookermachine learning