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Tasks:
Following tasks will be performed by external service provider as data ETL process manager:
- Perform the data collection activities for the Kohesio Platform relying on data mining, machine learning and business intelligence solution.
- Perform data analysis, convert and update different data types/sets (ETL).
- Produces data models according to specific problems statements.
- Designs and deploys data collection and web scraping algorithms using specialised Python libraries.
- Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc., ...).
- Write the different documentation associated with the tasks.
- Excellent knowledge of Data Analytics techniques and tools.
- Proficient experience with languages like R, Python.
- Expertise knowledge of business intelligence tools (e.g. Power BI, Tableau).
- Expertise in the ETL processes and tools.
- Knowledge of SQL tools
- Experience in Machine Learning and Natural Language Processing – nice to have.
- Ability to work in a team as well as autonomously.
- Results-oriented mindset, focused on delivering.
- Good communication skills in English, both orally and in written form
Specific Expertise:
Following specific expertise is mandatory for the performance of tasks:
- Minimum 3 years of professional experience in Data Science. Excellent command of Python and proficiency with relevant libraries, including but not limited to NumPy, Pandas, Scikit-learn.
- Track records in cleaning and transforming raw data into a usable format for analysis.
- Minimum 2 years of professional ETL tools (e.g. Apache Airflow, dbt)
- Track record of implemented solutions that solved business problems and produced tangible results
- Minimum 2 year with cloud services (AWS, Azure, Google Cloud). Experience with Knowledge Graphs and SPARQL is an asset.
- Minimum 2 years of experience with version control system (Git Hub)
- Excellent command of English
