— No less than 4 years experience using Python;
— Basic algorithms and data structures proficiency;
— Proven experience in REST API development with Django or Flask;
— Database (SQL and/or NOSQL) experience;
— Experience using Spark, Sqoop, AWS services (Spectrum, Glue) and other related tools in the big data ecosystem;
— Experience working in a large, complex DevOps CI/CD environment;
— Understanding of data modeling, data storage techniques, data warehousing and general data architecture;
— Experience with engineering data pipelines to capture, store and process unstructured data;
— No less than intermediate English level for easy going communication with the client.
— Transparency in communication between the сompany and an employee;
— Paid vacation (20 business days) and paid sick leave;
— Opportunity to join advanced, innovative projects;
— Accounting as a service;
— Competitive salary;
— Friendly working environment;
— Language classes;
— Great working conditions and comfortable office;
— Optimization of state-of-the-art visualization of large-scale ML data, metrics and analytics;
— Writing and maintenance documentation for related code;
— Development of the code from ingestion of data to UI;
— Implementing creative solutions to complex problems;
— Building the required data and reporting pipelines using the internal ETL tools.
SciForce is looking for a Big Data Engineer to join the team working on the maintenance and development of an auto ML system that assists organizations in making decisions and actions in each level of control.