RESPONSIBILITIES:A Kforce client in San Francisco, California (CA) is seeking a Spark/Scala Engineer.
The client has an engineering team that focuses around ETL and data development for their data warehouse and analytics platform. They have 2 ETL platforms that they work on: Ab-Initio and Informatica. Hadoop was recently added to the environment. One major initiative on this team is Machine Learning! They are currently doing this on Big Data Platforms (Spark, Hadoop) and using Python and Scala and real time streaming technologies to work on a few key projects. They will be building out a Data Engineering team with experience in big data, machine learning environments.
The current project is a recommendation engine/platform that will do machine learning for product recommendations on the ecommerce site for different scenarios (you may also like, customers who purchased/browsed this item also purchased/browsed x other item).
REQUIREMENTS:Top must have:
- Background in Spark and Scala (Java acceptable too)
- Data Engineering or Data Science experience within Spark
- SQL experience
Nice to have:
- Experience working on machine learning
- Azure experience
- Shell scripting
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.