Practical experience with SQL and any of DB engines, MSSQL preferable
Experience using Python and its data analysis libs: NumPy, Pandas, SciPy
Data analytical mindset, willing to dig deep in Data of various nature and reveal the regularity, patterns and rules.
Strong attention to detail
• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues;
• The ability to work in any of our development centers.
One of the largest professional certification associations in the finance industry globally cooperates with DataArt as its primary technology partner. This highly prestigious and recognizable organization has thousands of certified members worldwide.
To help address the challenges of a diverse and changing business environment on the scale they have, they use Scaled Agile Framework (SAFe). In addition to the many projects already underway, DataArt has been commissioned to start several new projects of different sizes.
Advanced technological solutions, skilled technical specialists, and the importance of human relations is what makes the work on projects of this company comfortable and interesting. Minimum viable bureaucracy and openness to new solutions allow every developer to significantly influence the products created.
In the future, the DataArt team that cooperates with the client will be expanded to several dozens of people: engineers, testers, architects.