Data Platform Engineer

AIML Data Platform seeks to improve products by using data as the voice of our customers. 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, Hadoop and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical & product consumers.Required skillsets

• 10+ YOE, with 5+ years of experience designing and implementing batch or real-time data pipelines.
• Hands-on experience on batch processing (Spark, Presto, Hive) or streaming (Flink, Beam, Spark Streaming).
• Experience in AWS and knowledge in its ecosystem. Experience in scaling and operating kubernetes.
• Excellent communication skills is 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 changes.
• Able to work independently, research on possible solutions to unblock customer.
• Programming experience in Scala, Java, or Python.
• AWS experience with kubernetes operating knowledge.
• Working with data pipelines and experience with Spark and Flink.
• Excellent communication skills.

• Programming experience in Scala, Java and Python.
• Knowledge on Machine Learning (Client).
• Fast learner and experience with other common big data open source technologies is a big plus.
• Knowledge on machine learning (Client) is a nice-to-have.