Tasks:
- * Align data flows and interfaces across teams
- * Build automated data pipelines
- * Build end-to-end data feedback loops
- * Coordinate data requirements and technical reviews
- * Design data mining triggers and ground-truth production
- * Develop data filtering strategies
- * Establish data lineage and lifecycle management
- * Identify project risks
- * Integrate data into a lakehouse
- * Manage static and dynamic scenario data
- * Mine high-value samples
- * Plan data resources
- * Resolve data challenges
- * Support model iteration and metric evaluation
Perks/Benefits:
Skills/Tech stack required:
[Anomaly Detection] [Apache Airflow] [Argo] [Autonomous Driving] [Autonomous Driving Data] [Autonomous driving data loops] [DAG engines] [Data Governance] [Data Lakehouse] [Data lifecycle] [Data Lifecycle Management] [Data Lineage] [Data middle platforms] [Data Mining] [Data Modeling] [Data pipeline] [Data Pipeline Development] [Data platforms] [Data Quality] [Data quality assessment] [Large-scale] [Large Scale Data] [Large scale data platforms] [Lifecycle Management] [Pipeline Development] [Python] [Quality Assessment] [Scenario clustering] [Semantic alignment] [SQL]
Educational requirements:
N/A
Role(s):
[Data Engineer] [Data Governance] [Data Governance Engineer] [Data Platform] [Data Platform Engineer] [Engineer] [Governance Engineer] [Platform Engineer]