FERM is a leading agricultural platform that specializes in integrating technology into agriculture to improve the efficiency and sustainability of agribusiness. We strive for constant improvement and development, based on innovation and technological progress. The FERM agricultural platform invites a Data engineer to its team. We are looking for highly qualified and focused specialists who want to join our team. REQUIREMENTS: • confident knowledge of Python (Numpy, Pandas); • knowledge of tools
FERM is a leading agricultural platform that specializes in integrating technology into agriculture to improve the efficiency and sustainability of agribusiness. We strive for constant improvement and development, based on innovation and technological progress. The FERM agricultural platform invites a Data engineer to its team. We are looking for highly qualified and focused specialists who want to join our team. REQUIREMENTS: • confident knowledge of Python (Numpy, Pandas); • knowledge of tools for web scraping and unstructured data processing; • knowledge of relational databases; • knowledge of NoSQL databases; • version control system: Git; • knowledge of Excel, Power Query, DAX; • experience with Power BI visualization tools; • experience in working with GIS (for example, QGIS);• availability of critical thinking;• ability to work in a team. DUTIES:• collection, extraction, processing of raw data from various sources - catalogs, sites, channels (Viber, Telegram), files ( Excel, PDF, Word, etc.);• collection of information about prices of goods from online sellers, integration with tender platforms;• processing of structured and unstructured information with elimination of errors, duplication of data, normalization and conversion into the required format;• creation of RESTful API for transfer and exchange of information, integration with internal and external clients;• creation and use of ELT/ETL pipelines, work with BigData processing frameworks;• creation and processing of vector information (polygonal objects, geocoding, reverse geocoding, understanding of cartographic projections, application of Data Mining algorithms);• automation of repetitive tasks, data processing of IoT devices, aggregation of machine data, log analysis. CONDITIONS:• work schedule: from 9:00 a.m. to 6:00 p.m.;• office work format;• comfortable office in the center Kyiv in the A-class business center (BC Gulliver). If you are ready to take responsibility, learn and develop with us, send your resume - we will be glad to invite you to the team of professionals.