1. Masters degree in Computer Science, Engineering, or closelyrelated field and four 4 years of experience in data sourcing and ETL, business intelligence, data architecture, database development, or analytics.br br Will accept a Bachelors degree in Computer Science, Engineering, or closelyrelated field and six 6 years of experience in data sourcing and ETL, business intelligence, data architecture, database development, or analytics in lieu of the Masters degree and four 4 years of experience requirements.br br 2. Additional experience must include analytics solution delivery, including data sourcing, architecture, and data modeling of warehousesmartsrepositories; data integration transformation ETL; APIs; cubes; reporting and analytics; one or more ETL toolset SAP Data Services, Microsoft SSIS, etc.; modern software development using python and SQL; experience with one or more cloud providers AWS, Azure, GCP; sourcing data from various noSQL database platforms such as MongoDB, DynamoDB, Neo4j, or similar; sourcing data from various relational database platforms Microsoft, Oracle, SAP, etc.; sourcing data from flat files JSON, XML, CSV, etc.; and leading clientfacing interactions, gathering requirements, and presenting solutions.
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