Data Platform Engineer
📋 Role Overview & Responsibilities
Data Platform EngineerW2 ContractSalary Range: $119,600 - $140,400 per yearLocation: Cupertino, CA - Remote RoleJob Summary:We are looking for engineers to collaborate with users of our infrastructure and architect new pipelines to improve the user onboarding experience. As part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, and Hadoop. You will effectively partner with upstream engineering teams and downstream analytical and product consumers.Requirements and Qualifications:10+ years of experience; 5+ years designing and implementing batch or real-time data pipelinesHands-on experience in batch processing (Spark, Presto, Hive) or streaming (Flink, Beam, Spark Streaming)Experience in AWS and knowledge of its ecosystem. Experience in scaling and operating Kubernetes.Excellent communication skills are a must; experience working with customers directly to explain how they would use the infrastructure to build complex data pipelines.Proven ability to work in an agile environment, flexible to adapt to changesAble to work independently, research on possible solutions to unblock customerProgramming experience in Scala, Java, or Python is preferred.Fast learner and experience with other common big data open source technologies is a big plus.Knowledge of Machine Learning is preferred. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com.
Desired Skills and Experience
Spark, Presto, Hive, Flink, Beam, AWS, Kubernetes, Scala, Java, Python, big data, data pipelines, Machine Learning
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This position is located in Cupertino, CA with potential relocation and sponsorship assistance depending on candidate qualifications.
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