7+ years of engineering experience, 2+ years working with data in the cloud (ideally using Azure)
7+ years of experience with SQL and comfortable designing, writing, and maintaining complex SQL-based ETL
Experience building batch and micro-batch data pipelines; ETL design, implementation, and maintenance
Experience with schema design and data modeling, and analytical skills to QA the data and identify gaps and inconsistencies
Experience in designing a data platform architecture with relation to the infrastructure
Understanding of data warehouse layers, approaches to load data into such layers, and relevant algorithms
Experience working with the Azure Data Platform (Azure SQL, Azure Data Factory, Azure Storage, Azure Functions)
Experience supporting Business Intelligence teams and products
Knowledge of Python or Scala
Experience in parallel computing
Experience working with Git
• 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.
We are assembling a team that will develop and upgrade the systems of the international association of financial industry professionals. The company that unites 200 thousand investment experts uses more than a hundred different applications.
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.