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Senior Data Engineer
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Part-time
- Any Person May Provide Documentary Evidence Bearing On The Application (such As Information On Available Workers, Wages, Working Conditions, And Any Other That Is Felt To Be Pertinent) To
- Productionize data and machine learning pipelines with docker containerization and clustering tools (ECS/Kubernetes).
- Build an environment that enables data scientists to easily develop and productionize Python, R and Spark code on top of a Snowflake data warehouse.
- Perform data engineering projects within Snowflake such as developing data pipelines, data models and metadata management solutions.
- Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Business Analytics, Statistics, Informatics, Information Systems or a directly related field plus five (5) years of experience as a Business Intelligence Engineer with experience in data engineering or software engineering.
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