about 2 hours ago
Responsibilities
- Design, develop, and own data pipelines, models, and products for various functions.
- Manage SLAs for data pipelines and full stack web applications.
- Build and refine data infrastructure, pipelines, and tools using Scala, Spark, and Airflow.
- Leverage LLM and Agents to produce high-quality data on ambiguous problems.
- Refine existing data marts for forecasting and measuring business performance.
- Build data services to track key product metrics and measure strategy impacts.
Requirements
- Must have 6+ years of experience in a Software Engineering role focused on data services.
- Strong engineering background with an interest in data.
- Experience writing and debugging data pipelines using distributed data frameworks.
- Inquisitive nature for resolving data inconsistencies and quality issues.
- Knowledge of backend development languages like Scala, Java, or Go, and strong SQL experience.
- Ability to communicate cross-functionally and architect shared datasets.