Data Engineering and Analytics Lead

4 weeks ago


San Francisco, California, United States Nimble Robotics Full time
About Nimble Robotics
Nimble Robotics is a pioneering robotics and AI startup that aims to revolutionize the way robots learn to grasp and manipulate any object. Our ultimate goal is to enable the dark warehouse, a fully automated eCommerce fulfillment center with swarms of intelligent, cloud-connected robots to enable affordable same-day fulfillment for every retailer, large and small.

Key Responsibilities
As a Senior Data Engineer, you will play a critical role in advancing our robotics moonshot by scaling our data engineering efforts. You will drive design and development of data infrastructure across our products and internal tools, working closely with our world-class cross-functional team to architect and build the world's most advanced robotic systems for the world's biggest robotics opportunity.

Responsibilities
• Design and implement scalable big data pipelines, both streaming and batch
• Build and maintain highly reliable tables by combining and transforming data from multiple sources, including high-frequency sensor data.
• Develop and deploy high-quality data tools using modern tools and frameworks.
• Implement production-grade frameworks to ensure data availability and uphold quality SLAs.

Requirements
• 5+ years of experience in a tech company or in a fast-growing startup. Team management experience is a plus.
• BS/MS/Ph.D. in Computer Science, Mathematics, Computer Engineering or a related discipline, or equivalent experience.
• Strong experience writing production code in Python, Java
• Ability to identify and resolve bugs and issues.
• Kafka/Spark/Databricks experience
• Experience with AWS

About the Role
This is a challenging and rewarding role that requires a strong technical background, excellent problem-solving skills, and the ability to work effectively in a fast-paced environment. If you are a motivated and experienced data engineer looking to make a meaningful impact, we encourage you to apply.
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