About the role
Lead data engineering efforts to scale infrastructure, streamline delivery, and design AI automation.
- •As a Staff Data Engineer, you will lead and focus on scaling the data infrastructure, streamlining data delivery, and designing AI automation.
- •You will work cross-functionally with various teams to build an enterprise-grade Data Platform.
- •Key Responsibilities Lead and focus on scaling the data infrastructure, streamlining the data delivery, and designing and implementing AI automation.
- •Engage closely with stakeholders, providing high-level support for data infrastructure challenges and advising on technical data issues.
- •Develop sophisticated AI-based analytical tools that integrate with the data pipeline.
- •Requirements 7+ years in designing, building, and maintaining the Data infrastructure.
- •Bachelor's, Master's, or PhD degree in computer science, computer engineering, or a related technical discipline.
- •Deep knowledge of Kafka, Proficiency in programming languages like Python and Scala, and a good understanding of ML engineering.
Tech stack
Apache KafkaPythonScala
Match insights
Tech:Apache Kafka, Python, Scala
Level:Lead