• Location: USA, California, Palo Alto
  • Date Posted: 11th Apr, 2019
  • Reference: 5543253_1555023332
Big Data Role - San Francisco $250k

My client works in the Application Performance Management (APM) space, helping organizations accelerate the performance of their Big Data applications and clusters. They analyze these applications, identify root causes of issues, and provide solutions to fix them in fast and easy ways. They originated in 2013, have 100 employees, and are expanding RAPIDLY to keep up with their high demand and growth.

The job title for this role is flexible depending on experience, and this candidate will lead and participate in architecture, design and development of various components of their APM solution, by building automated troubleshooting and tuning solutions for Big Data platforms such as Spark, Hadoop, Kafka and HBase. You will own the data ingestion in regards to applications, then and analyze the data and provide recommendations through algorithms



Required Skills:

- Big Data experience - at least 3 years' in a professional environment

- Hands on in-production experience in a Hadoop ecosystem, working with Spark & Kafka

- Hands on Java development

- Experience and willingness to be a hands-on individual contributor

- Databricks, Presto, & Kubernetes experience a huge plus



This organization not only offers a very competitive salary, lucrative bonuses, and remote flexibility, but also have very inexpensive health benefits, unlimited PTO, and stock options for all employees! They are a smart team filling a big hole for companies in need and are looking to hire the best and brightest in the area.



Please send all resumes to m.muniz@jeffersonfrank.com or call 303-558-4344