Introduction
As a data engineer in the IBM Cloud Platform Analytics Data Warehouse Team, you will work on building serverless data pipelines and build orchestration for the pipelines.
Your role and responsibilities
• 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
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- • 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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