Description

In this role you will be responsible for engineering, integrating and maintaining an analytics data platform based on a hybrid cloud infrastructure.
Work collaboratively with our sister Data Engineering team to engineer custom solutions when required.
Participate and provide 8x5 support to our stakeholders and platform users when required.

Key Qualifications

Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to the area. This position may require travel in the US and Canada
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
U.S. citizens and those authorized to work in the U.S. are encouraged to apply
At least 4 years of experience in Information Technology
At least 3 years of professional experience with the Python programming language
At least 2 years of professional software engineering experience (APIs, services, tooling and automation)
Knowledge and experience in working with Docker, Kubernetes, and related technologies
Knowledge and experience with DevOps methodologies
Excellent time management skills with the ability to manage work to tight deadlines
Experience developing solid and scalable technical solutions to business problems
Experience with agile development and work management methodologies
Ability to pick up new technologies relatively quickly
Ability to communicate effectively (written and spoken)
Ability to work with the multi-timezone development teams and self-manage own work
A strong work ethic

Professional experience with Java/Scala based analytics platforms (Hadoop, Spark, Hive, Trino, etc.).
Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus.