The data processing toolset is built with Python, using Pandas library for ETL and Django for a helper web application. You will also work with various databases, such as Oracle, RedShift, MySQL, and MariaDB.
Python core: syntax and main concepts (data structures, unit testing, logging)
Data Frames and operations with them - aggregation, transformation, grouping, etc.
Reading and writing to different sources (csv, xlsx, DB),
Data visualization libraries (plotly, matplotlib)
A Basic understanding of relational DBs and SQL
Django framework: application structure and basic concepts
Understanding of HTTP protocol and communication via REST API
The multitenant platform for dynamic construction of layouts for robots (in general it is a form with a dynamic number of inputs) including other configurations. A robot is an automated algorithmic process that replaces human actions.
A platform that is called to replace typical CVs that people continuously need to support and update to a modern solution that allows creating visualizations of the experience and present key metrics to everyone.
Full-Stack Development – Client and server development
Product management – Planning sprints and tasks
DevOps – Continuous delivery with high software quality.