We have a few needs for Cloud Data Engineer to help us transform our data systems and architecture on Public Cloud infrastructure, to deliver more analytical and business value from a wide range of data sources. You will work with the team to design and develop high-performance, resilient, automated data pipelines, and data transformation applications, adapting technologies for ingesting, transforming, classifying, cleansing and exposing data using creative design to meet objectives. Your broad experience with data management technologies will enable you to match the right technologies to the required schemas and workloads. We rely heavily on Spark, PySpark and related technologies, and our stack makes use of Graph DB, NoSQL and columnar formats, and will continue to evolve. We expect you to lead by learning.
We’re looking for an experienced data engineer to help us:
Required Experience and Skills:
All experience is expected to be hands-on. Please do not include exposure via team engagement.