Pubblicato su stage4eu il: 05/08/2022 Lonza, Operational Data Engineering-Intern

Rottenstrasse 6, Visp, Svizzera
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  • Responsible for the development of a data integration pipeline including the design of middleware, use of staging tables, combining different data sources and formats.
  • Contributes to creating Extract, Transform, and Load (ETL) tools to extract data from flat data files generated by our platform instrumentation.
  • Assist in the automation of data preparation for use with analytics and machine learning.
  • Provide guidance on analysis and interpretation of high-dimensional data.
  • Enable a team of world class bioprocess scientists and data experts to turn data into actionable insights.
Requisiti principali:
  • Advance skills in Python and SQL.
  • Familiarity with database design; preferably both relational and non-relational (NoSQL).
  • Comfortable with on premises local databases (Oracle, MongoDB, MS Azure ,MySQL, SQLite MS SQL Server).
  • Knowledge of Rest APIs is an advantage.
  • Interested in understanding the context of Bioprocessing data generation.
  • Proactive.
  • Curious, self-driven, analytical and excited to play with data.
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