Related skills
aws snowflake python databricks typescript📋 Description
- Lead design, development, and optimization of data infrastructure.
- Collaborate with software engineers, data scientists, and stakeholders.
- Own critical initiatives; influence architecture; mentor engineers.
- Build scalable, secure data storage, processing, and access systems.
- Drive CI/CD best practices for data services and deployments.
- Oversee ML platform training, release, serving, and monitoring.
🎯 Requirements
- 7+ years in data infra or backend engineering.
- Strong knowledge of data services architecture and ML Ops.
- Cloud-based data infra experience (AWS, GCP, or Azure).
- Deep experience with SQL and NoSQL databases.
- Snowflake and Databricks data warehousing experience.
- Proficiency in Python/NodeJS and leadership experience mentoring engineers.
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