Ingest new data from relational and non-relational source database systems into our warehouse. Connect data from various sources. Integrate data from external sources to warehouse by building facts and dimensions based on the EPM data model requirements. Automate data exchange and processing through serverless data pipelines. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in data analysis and integration. Experience in data building and consuming fact and dimension tables. Experience in automating data integration through data pipelines. Experience with object-oriented programing languages such as Python. Experience with structured data processing languages such as SQL and Spark SQL. Experience with REST APIs and JSON Experience in IBM Cloud data processing services such as IBM Code Engine, IBM Event Streams (Apache Kafka). Strong understanding of Datawarehouse concepts and various data warehouse architectures Preferred technical and professional experience Experience with IBM Cloud architecture Experience with DevOps. Knowledge of Agile development methodologies Experience with building containerized applications and running them in serverless environments on the Cloud such as IBM Code Engine, Kubernetes, or Satellite. Experience with IBM Cognitive Enterprise Data Platform and CodeHub. Experience with data integration tools such as IBM DataStage or Informatica

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