Qualifications for success:
• Bachelor's degree in Engineering, Computer Science, Information Technology, MIS or related field
• Excellent communication skills and experience working collaboratively across various groups.
• Prior experience working in advanced technology or technical innovation software organization.
• Data Engineer: Competent writing code in Scala, and/or Python
• Data Engineer: Demonstrated ability to produce well designed, tested, and maintainable production code
• Data Engineer: Highly proficient using Spark to solve big data problems
• Data Scientist: Able to create machine learning models of varying types and in varying environments
• Data Scientist: Competent writing code in Python
Desired Technical Skills for Success:
• 5+ years of related work experience in a similar role or with similar technologies
• Hands-on experience with or working knowledge digital technologies (cloud, devops, security orchestration & automation, analytics, big data, IoT, OT)
• Excellent verbal and written communication
• Ability to work additional hours and/or travel as needed
• Data Engineer: Spark Certification sponsored by Databricks
• Data Engineer: A basic understanding of SparkML and MLFlow
• Data Engineer: Experience using AWS and/or Azure services
• Data Engineer: Experience implementing and/or maintaining a storage and compute infrastructure
• Data Scientist: Experience related to putting ML models into production, and model lifecycle management
• Data Scientist: Familiarity with Spark SQL
• Data Scientist: Experience using a notebook technology (Jupiter Notebooks, Zeppelin, Databricks)
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