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Data Engineer

Helsinki, Finland
Photo of Ekaterina Bulanova
Recruiter
Ekaterina Bulanova
Must have skills:
Python
SQL
Work arrangement:
Onsite only
Industry:
Big data
Language:
English
Level:
Middle
Visa sponsorship:
Not provided
Company size:
11-50 employees
Trial period:
4 months
Logo of CHAOS

Data Engineer

Helsinki, Finland

Company

CHAOS - only smart city expert that combines data with human intelligence. It empowers your organisation with urban insights and forecasting, for making more sustainable decisions and managing growth with resilience. CHAOS responds to the Smart City challenge by creating an AI cloud service platform where cities, citizens, and businesses can jointly innovate, interact, and design valuable data for a better living environment.

Description

Our client is the only smart city expert that combines data with human intelligence. It empowers your organization with urban insights and forecasting, for making more sustainable decisions and managing growth with resilience. The company responds to the Smart City challenge by creating an AI cloud service platform where cities, citizens, and businesses can jointly innovate, interact, and design valuable data for a better living environment.Their platform contains engagement-driven applications and third-party APIs that processes business intelligence for better interaction and decision making. They serve multiple players in the smart city ecosystem with their business level-access licenses and big data. 
Responsibilities:
  • Data selecting (interpreting data sets’ value in relation with their relevance in providing insights which are aligned with the company goals and overall solution)
  • Data hunting (licensed & open)
  • Data extraction (batch and real-time) from different sources
  • Data transformation
  • Data uploading to the database in clean format
Requirements:
  • Python and SQL
  • Ability and understanding of how to optimize the performance of an individual data pipeline and the overall system, so that the data pipelines built are scalable and efficient (performance optimization)
  • Overall management of the availability, usability, integrity and security of the data used (data governance)
  • Good communication skills

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