Tasks:
- * Automate data management workflows
- * Build and maintain embodied AI data lifecycle infrastructure
- * Build data versioning, retrieval, and lineage capabilities
- * Develop and optimize data processing pipelines
- * Establish data quality inspection, filtering, and grading
Perks/Benefits:
Skills/Tech stack required:
[Backend Development] [Data Engineering] [Data Pipelines] [Data Processing] [Data Quality] [Data quality engineering] [Data Storage] [Data Versioning] [Distributed Systems] [ETL] [Large-scale] [Large Scale Data] [Large-scale Data Processing] [Linux] [Python] [Quality Engineering] [Workflow Orchestration]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Data Engineer] [Data Infrastructure Engineer] [Engineer] [Infrastructure Engineer]