• 4+ years of data analysis/engineer experience;
• 2+ years of experience with R/Python;
• Advanced experience with SQL queries as well as working with large data sets;
• Solid understanding of development processes and methodologies;
• Practical experience with Git;
• English level: Upper-Intermediate+;
• Quick learner, team player, responsible, punctual, stress-resistant, client-oriented.
• Sales data or Inventory analysis experience;
• Experience with Docker;
• Familiar with Azure Cloud platform;
• Experience with NoSQL.
• Senior team;
• Regular review;
• Long-term employment;
• Challenging projects;
• Certifications;
• Flexible working schedule;
• Comfortable offices.
• Analyze and handle raw data streams from 3rd party resources;
• Creation, design, and maintenance of data pipelines allowing to extract, load, and transform data using SQL and R/Python;
• Deep analysis of loaded information and mapping into existing data structures by resolving conflicts
• Design, deployment, and maintenance of growing project’s Azure-based data infrastructure;
• Development of automated tests allowing to monitor and ensure end to end data quality;
• Working with Data Scientists assisting with experiments and deploying machine learning models
• Exploring ways to enhance data quality and reliability;
• Taking part in R/Python integration to SQL.
We are looking for a Data Engineer to join our growing team. The candidate will take care of multiple data sources and their integration into the platform as well as establish data distribution processes in close collaboration with Data Scientists team. The client is the leading provider of online pricing and market share intelligence solutions to manufacturers and distributors. The product provides online pricing, promotion, and market share information, enabling clients to find market opportunities and to address competitive threats.