• 4+ years of experience with Scala, Python, or Java;
• Practical data engineering experience building and maintaining ETL pipelines (data ingestion, storage, and processing) in batch and streaming solutions using Kafka, Spark, Hadoop, etc;
• Practical experience with Trino, Apache Ranger;
• Experience with Apache Hive Metastore;
• Experience with basic infrastructure tools like Docker, k8s (Openshift would be a plus);
• At least Intermediate level of both spoken and written English (B1 and higher);
• Optionally: an experience with Prometheus, Graphana, Azure data bricks, GCP stack.

An engineer will work with the client’s Data Analytics department:

• Implement ways of transferring data;
• Get data inside out for business users; 
• Write customized business pipelines; 
• Build the data engineering platform to deliver reports and tables to consumers.

Features:

• Be flexible in terms of projects on the client’s side – they have many products and will require you to work with more than one;
• Work not only with technical people from the client’s side but also with business users of the bank;
• We will involve two more people with less experience, so you have a chance to share a knowledge with them.
• Be able to suggest, decline, and take responsibility for ideas.

• 50% cost compensation for attending courses and seminars on self-development;
• Сareer opportunities;
• Internal University (Tech Communities (Front End, Back End, QA), leadership program, etc);
• English training courses (twice per week+Communication Course, Grammar Course, Emailing Course and of course practice with native speakers every week)
• Paid time off (vacation days (18 working days) and sick days (10 working days));
• Gym memberships or discounts (6000 UAH per year);
• Wellness programs (participation in running marathons; health plan (vaccination, dental or vision plans, etc);
• Corporate doctor;
• Corporate events (travel talks, online parties);
• Parental Leave.