Working Student (m/f/d) AI Data Engineering
Fresenius Medical Care
Global Quality Data Management is a Corporate Staff Function that manages the data pertaining to Quality & Regulatory. It is responsible for monitoring data, creating reports, defining data management and defining interfaces to the company's DWHs. By working as a working student, you can get a taste of practical experience, make contacts, explore possible career paths - and fill your student fund at the same time.
Your Challenge in Detail:You support our team in the development of a concept study/feasibility study of a chatbot that accesses product-specific documentation and processes input in natural languageYou will be actively involved in the development of a feasibility study for automated language translations of repair reportsMoreover, you will support us with SQL queries and database maintenance: this includes formatting and uploading Excel files, generating test data for new projects, checking data for completeness and much moreOf course, you will also actively support data validation and CSA validation activities
Your Competence is in Demand:Current master’s studies in computer science, data science, robotics, artificial intelligence, data engineering or similarFirst experience with SQL and data bases such as MySQL, Snowflake, PostgresSQLUnderstand Data Engineering, Cloud-Computing and Artificial IntelligenceProgramming experience (e.g. SQL, Python)Knowledge of cloud platforms or willingness to learn in this area (e.g. AWS, Azure) advantageousFamiliar with data modeling, ETL processing and analyzing big data sets desiredVery good English skills (written and spoken)
Your Challenge in Detail:You support our team in the development of a concept study/feasibility study of a chatbot that accesses product-specific documentation and processes input in natural languageYou will be actively involved in the development of a feasibility study for automated language translations of repair reportsMoreover, you will support us with SQL queries and database maintenance: this includes formatting and uploading Excel files, generating test data for new projects, checking data for completeness and much moreOf course, you will also actively support data validation and CSA validation activities
Your Competence is in Demand:Current master’s studies in computer science, data science, robotics, artificial intelligence, data engineering or similarFirst experience with SQL and data bases such as MySQL, Snowflake, PostgresSQLUnderstand Data Engineering, Cloud-Computing and Artificial IntelligenceProgramming experience (e.g. SQL, Python)Knowledge of cloud platforms or willingness to learn in this area (e.g. AWS, Azure) advantageousFamiliar with data modeling, ETL processing and analyzing big data sets desiredVery good English skills (written and spoken)
Start: as of now
Duration: 6 months, with option to extend
Working time: approx. 20 hours per week
Location: Bad Homburg
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