Hands-on Data Architect
IT & Telekom
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The customer needs:
A robust system for data collection, including data from multiple sources such as device apps, cameras, and manual entries. This system should be adaptable to future expansions into real-world data collection.
To implement scalable and secure databases compliant with healthcare regulations for efficient data storage and management, including migration from Sharepoint and Excel to SQL Warehouse.
Real-time or batch data processing and analysis, utilizing Python and incorporating statistical methods and machine learning algorithms.
Additionally, security measures are necessary to safeguard sensitive data, and tools for data visualisation and reporting are desired to aid decision-making processes. To implement scalable and secure databases compliant with healthcare regulations for efficient data storage and management, including migration from Sharepoint and Excel to SQL Warehouse.
Real-time or batch data processing and analysis, utilizing Python and incorporating statistical methods and machine learning algorithms.
Experience in:
Designing and implementing on-premise data warehouses eg. PostgreSQL
Data pipeline automation
Designing architecture for sensitive personal data
SQL (Advanced)
As an advantage: Previous work in the MedTech field, Python
Data pipeline automation
Designing architecture for sensitive personal data
SQL (Advanced)
Period
ASAP
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