Must Have Skills:
- 5+ years as a Snowflake Developer/ Data Engineer/ ETL Developer/ Data Warehouse Analyst etc.
- 5+ Years experience within Data Warehouse management (creating table structures/ star schemas etc.) within Snowflake
- Expertise with ETL (extract, translate and load) process
- Half of the job is creating tables from existing warehouse data. The other half will involve extracting data, translating it and loading it into a visualization tool
- Expertise with SSIS- what they will be using to carry out the above
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Nice to Have Skills:
- Oracle Cloud would be a big plus here
Day to day responsibilities:
Data Management and Analytics team is one of the key functions within the Supply Chain Transformation to implement data strategy, data governance and data analytics practices with cross functional teams within Supply Chain Operations. The team delivers self-service analytics capability to meet our business needs and drive improvements in supply chain performance.
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Supply Chain Transformation (SCT) is an organization passionate about defining and leading strategic transformation across Supply Chain Operations. As a Data Scientist, you will understand business problem and challenges, lead in data collection and data pipelining, clean/process/transform data sets, apply AI/ML models, highlight insights etc. and will lead technical discussion, and implementation of projects related to supply chain transformation areas. You'll help us evaluate new and emerging technologies and determine applicability to current and future AI/ML projects. You will partner with business architects to design new business capabilities, help drive transformation project to completion, define system technical use cases and architecture specification in alignment with business requirements or needs.
Department: Preferred Vendors
This is a contract position