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aws sql python gcp databricks📋 Description
- Scale data infrastructure and automate AI-driven data ops.
- Collaborate with exec, product, data, design teams to support infra and self-serve data.
- Build AI-based analytics integrated with the data pipeline for key metrics.
- Architect and manage large data sets to meet complex business needs.
- Mentor senior engineers and lead cross-team engineering initiatives.
- Continuously learn new data-engineering technologies and best practices.
🎯 Requirements
- 7+ years designing and maintaining data infrastructure, leading complex projects.
- Bachelor’s, Master’s, or PhD in CS/Engineering, or equivalent industry experience.
- Deep knowledge of Kafka; Python and Scala; ML engineering.
- Strong knowledge of Spark; SQL/NoSQL; cloud platforms AWS/Azure/GCP.
- Experience using AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT).
- Proficiency in Git and Terraform; CI/CD practices.
🎁 Benefits
- Healthcare benefits.
- Internet and cell phone reimbursement.
- Learning and development stipend.
- Opportunities to travel to Mountain View HQ and Bangkok Site.
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