• 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.

• Annual paid vacation of 18 working days;
• Extra vacation days for long-lasting cooperation;
• Annual paid illness of 10 days;
• Maternity\Paternity leave;
• Opportunity of sabbatical leave;
• Marriage and Parenthood Package;
• Compensation for sports activities (up to 6000 UAH\year);
• 50 % cost compensation for attending courses for self-development;
• Corporate doctor;
• Internal education(corporate library, Udemy courses);
• Career development plan;
• English classes;
• Paying taxes and conducting private entrepreneurs;
• Technical equipment: laptop, mouse, keyboard, monitor, chair;
• Internal Referral program;
• Opportunity to take part in company volunteering activities;
• Technical community events.