Data DevOps Engineer (Spark, Kafka)

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for: Job Location: Santa Clara, CA Work Schedule: Hybrid 4 days onsite This position is open only to candidates who currently live within a 30-mile radius of Santa Clara, CA . Non-local candidates and those requiring relocation will not be considered . This role is best suited for candidates with 4–8 years of experience. We are not considering highly senior candidates for this position. Must have Experience in setting up multitenant Spark & Kafka clusters. Experience in Apache Spark, Apache Kafka and related toolset. Responsibilities Work on data pipeline on various ML/AI products . Interface with DevOps teams to build out the pipelines. Interface with Data Scientists and Software engineers to implement new features. Improve monitoring and debuggability of the existing pipelines. Qualifications Experience in setting up multitenant Spark & Kafka clusters. Experience running infrastructure automation using Jenkins/Ansible/Terraform or similar pipelining tools. Strong skills in at least Python, Scala or Java. Experience in cleaning, processing, managing, analyzing & search vast collections of data. Experience in Apache Spark, Apache Kafka and related toolset. Some experience with database technologies, knowledge on when to use a NoSQL, a regular SQL DB or a cloud SQL DB. Team player with the ability to handle multiple projects at the same time Interested in Applying? Please apply with your most current resume. Feel free to contact Saurav Kumar (View email address on click.appcast.io/View phone number on click.appcast.io) for more details. #J-18808-Ljbffr Maxonic Inc.