The point where experts and best companies meet
Share
As a Senior Data Engineer, you will to build a reliable and efficient data pipelines to support intuitive data products that allow our stakeholders to easily leverage data in a efficient and self-service manner. As part of this team, you will work on diverse data technologies such as Flink, Spark, Iceberg, Kafka, and various other AWS technologies to build a scalable batch and real-time data pipelines You will own creating end-to-end data pipelines that consolidate large data sets across various disparate systems and combine them into easily consumable data sets.Key job responsibilities
- Lead, design, and implement Data Pipelines from the ground up utilizing native AWS technologies.
- Build robust and scalable end-to-end data pipelines to support Analytics and Science Products
- You have an eye for detail and like to spark joy amongst your cross-functional partners with well-documented high-quality data products that are modeled and easy to understand.Seattle, WA, USA
- Knowledge of distributed systems as it pertains to data storage and computing
- 5+ years of data engineering experience
- -Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- -Experience with data modeling, warehousing and building ETL pipelines
- -Experience with big data and streaming technologies such as: Kafka, Flink, Hive, Spark, EMR
These jobs might be a good fit