Our product is a fraud-detection platform, specially designed for betting business. We started 1.5 years ago with a team created from scratch, dedicated processes and technology stack. Currently we process, store and analyze over half a billion events per day using ML, statistical, time-series and graph algorithms in real-time. We are going to reach two billion events in a
You will have a direct impact on:
— High-load system;
— Data collection process;
— Real-time prediction;
— Fraud detection system.
— Python experience +3 years;
— Develop ETL Data pipelines in Kafka, custom Python apps to transfer massive amounts of data (over 10TB/ month) most efficiently between systems;
— Product experience with AsyncIO;
— Understanding of queueing mechanisms (Kafka, RabbitMQ);
— Experience with non-relational databases Redis;
— Experience with relational databases PostgreSQL, Clickhouse, MSSQL;
— Experience working on Linux, Kubernetes, Docker;
— CI/CD (Gitlab).
— Willingness to learn new things and the pursuit of constant improvement;
— Experience in fingerprinting;
— Experience in building data pipelines in private clouds;
— AWS services.
— Medical insurance/Sport compensation;
— Sport club participation (football, running, basketball or swimming clubs);
— 100% paid sick leaves;
— 20 working days of paid vacation.
— Competitive salary and сonstant encouragement for your efforts and contribution;
— Bonuses according to company’s policy;
— Welfare (financial support in critical situations);
— Gifts for significant life events (marriage, childbirth).
— Individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops, etc.;
— Free corporate library;
— Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;
— A world-class team of T-shaped skilled professionals that share knowledge and support each other.
— Corporate parties and events (Pub Quiz, Carquest, bowling championships, etc.);
— PM Foundation activities (social responsibility events);
— Weekly events aimed at culture, arts, soft skills development.