Must have a bachelors degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Business Analytics, or related field, plus 2 years of experience in the IT consulting industry.br br Must have 2 years of experience in each of the followingbr br Programming and building large scale data analytics solutions operating in production environments;br Designing, implementing large scale data pipelines for data curation, feature engineering, and machine learning, using Spark in combination with PySpark, Java, Scala, or Python; andbr Utilizing on premise or on Cloud tools including AWS, Google, or Azure.br br Must have 1 year of experience in each of the followingbr br Designing and building performant data tiers, or refactoring existing ones, that support scaled AI and Analytics, using different Cloud native data stores on AWS, Azure, NoSQL, and Graph Stores; andbr Designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, and Spark Streaming cloud native technologies.br br Must have willingness and ability to travel domestically approximately 80 of the time to meet client needs.
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