SoftConstruct conducts basic and applied research in four key areas: data science, computer vision, big data, real-time processing. Our experience is extremely wide: from working with complex computer and engineering systems, programming for data science — to developing and putting into practice innovative solutions in the field of sports, eSports, and security.
Project: Data Platform.
Data warehouse that delivers the performance, simplicity, concurrency, and affordability for data collecting, rapid analytics, and extracting data-driven insights for business users.
Lambda architecture, designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
In many organizations, data consumption processes for timely reporting or crucial analytical requirements are hindered by both delays in query execution and information presentation. The main challenge is to minimize decision delay with the help of flexible solutions with open and simplified architecture and high performance based on future-oriented technologies using AI models and forecasting analytics.
Technologies: SQL, Google BigQuery, Google Colab, dbt, Metabase or Tableau, Python for Data analysis, GA/GA4
Nice to have:
Sounds interesting? Then, apply now, don’t wait up. SoftConstruct is a cool place to work, where you’ll have fun, make friends, and grow professionally.