Masters degree or foreign equivalent in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and two 2 years of experience in each of the following Analyzing large data sets from multiple data sources; Data architecture and data modeling, including creating Semantic Layer Data Models; SQL programming languages; Visualization tools such as PowerBI or Tableau; Understanding of tools to automate CICD pipelines such as Jenkins, GIT, or ControlM; Traditional relational data warehouse technologies, such as Oracle, Teradata, or DB2; Translating analytical problems into structured programs using PySpark, Scala, PLSQL or Teradata BTEQ; Designing data models and solutions for analytical and reporting use cases; Developing Metrics and KPI data layers for broader business and analytic consumption; Python; and Hadoop.br br Employer will accept any suitable combination of education, training, or experience.
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