
Data Engineer
As a Data Engineer, you will join a team that works across the organization using machine learning to build intelligence into our products. You will be a key member of this team working on all types of data requirements of ML team as well as other teams of Honey org. You will contribute towards building foundational infrastructure that powers numerous products in Honey ecosystem. As data engineer, lead a component design/development to design scalable big data infrastructures. Design, coordinate and execute pilots, prototypes or proof of concepts to evaluate new technologies and frameworks. Build scalable data pipelines infrastructure. Build data infrastructure while focusing on data quality, data availability, and data reliability. Support Machine Learning team in their data needs.
At least 3 years experience in large scale, production, server-side development on the JVM
Experience with building real time application is a plus.
Hands on experience with engineering developer tools- GIT, Dockerization, Continuous Integration frameworks etc.
Public Cloud (GCP) working knowledge is a plus
Experience working with cross-functional teams for their data needs
Python
Scala
HBase
Go
Hadoop
Solr
Kafka
Spark
Elastic Search
Time Management Skills
building RESTful API’s
Verbal communication
Driven and self-motivated
written communication
Problem-Solving
Detail oriented and highly organized
Multi tasker
Flexible Approach
According to JobzMall, the average salary range for a Data Engineer in 990 W 8th St, Los Angeles, CA 90017, USA is $124,719 - $175,638.
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