The ALM (Asset and Liability Management) data warehouse in the Market Risk (Banking Book Risk) Department is looking for a Data Engineer.

designing, developing, and maintaining corporate data warehouses (DWH) and analytical data marts;
creating and developing automated data processing pipelines using Hadoop, Spark, Python;
monitoring performance, diagnosing, and optimizing data processing processes;
participating in the development of data infrastructure, ensuring its fault tolerance and scalability;
improving existing solutions, implementing new methods and architectural approaches to handle growing volumes of information.

at least 2 years of experience as a Data Engineer;
strong proficiency in SQL (analytical functions, subqueries, execution plan optimization, working with stored procedures);
practical experience in designing and supporting ETL processes;
good knowledge of the Big Data ecosystem: Hadoop, Spark, Hive (or similar technologies);
proficiency in Python for task automation, script writing, and service integration;
understanding of data modeling principles, specifics of DWH architecture, and approaches to solving typical data warehouse problems;
ability to design reliable, scalable, and high-performance data processing systems;

Similar vacancies

Data Engineer