Data engineer in Data Science UA

about us:

that joins the command. None "> Requirements:

• Master's degree or PhD in mathematics, cybernetics, computer sciences or related disciplines;

• Experience of construction and scaling of databs for working with large tabular data in the cloud and local environment;

• Understanding Data Data Science; FONT-STYLE: Normal; Text-Decoration: None ">

  The ability to transform raw data with problems into the simulations prepared for modeling;

• Experience with Temporary Data and Web O-Draw;Weight: 400; FONT-STYLE: Normal; Text-Decoration: None ">

  Experience with Python, Pytorch, Pandas, Oracle DB;

• Knowledge of Cloud Technology and Python Ecosystem;

• English at Upper-Interpediate+.

Responsibilities:

• Design and Development of scaled-paid dates for processing financial information with Python;

• Design and Support of Hybrid Date-Infrastructure (Local + AWS);

• Introduction and Support for Data Integration Solutions, such as Airbyte;

• Provision of high quality, reliability and performance of data processing systems;

• Data Science Cooperation and Analytical Team to optimize data processes;

• Introduction of the best data processing and documentation practices. FONT-STYLE: Normal; Text-Decoration: NONE "> What is the company:

  • Health Insurance;

  • Laptop and Cloud Services at the Expense of the Company;

  • paid training, the ability to participate in the creation and publication of scientific articles (development of Open-Source);

  Social Package (paid lIssues and vacations).