about 2 months ago
Base Salary
$140k - $220k/yr
Responsibilities
- Build and optimize big data pipelines to extract and process signals from various sources.
- Design and implement data architectures and storage solutions for massive data volumes.
- Collaborate with data scientists to support and integrate machine learning models.
- Continuously improve data quality, performance, and scalability of the data platform.
- Drive technical strategy and roadmap for data processing infrastructure.
Requirements
- Extensive experience building and scaling big data pipelines and architectures.
- Deep expertise in big data frameworks like Hadoop and Spark, and the JVM stack including Java and Scala.
- Strong software engineering fundamentals with the ability to write efficient, high-quality code.
- Experience with entity recognition and NLP techniques is a plus.
- Proven track record of delivering results in a fast-paced environment.
- Excellent collaboration and communication skills.