Define, model, validate, and provide accessibility of data for stakeholders across various regions
Design and document data architecture and models that support Enterprise Systems and Analytics
Implement and maintain data pipeline integrations and solutions using cloud computing and large-scale data stores
Required Qualifications
Bachelor's degree or equivalent in Computer Science, Computer Engineering, or related field, or a Master's degree with relevant experience
5 years of progressive experience in Data Engineering, or 1 year with a Master's degree
Experience with SQL, relational databases, and data architecture
Proficiency in AWS cloud services and large-scale data processing tools
Familiarity with Snowflake, Oracle EBS, Spark, Scala, Kafka, and Python
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