— 5+ years of experience building pipelines for processing large amounts of data;
— Good understanding of statistical analysis;
— Proficiency with SQL;
— Proficiency in Python and other scripting languages;
— ETL experience;
— Experience in Tableau or other reporting tools;
— Basic understanding and theoretical knowledge of cloud services that processes or stores data;
— English at the Upper-Intermediate level at least.
— Experience in consuming streaming data from Kaffka, RabbitMQ;
— Experience with AWS (S3, Athena, Redshift);
— Hands-on experience with Hadoop/Hive;
— Experience in Bash scripting.
— Work with really interesting projects;
— Flexible work schedule;
— Friendly and engaging professional team;
— Environment open for professional growth;
— Compensation of sports;
— Medical service;
— Kicker and other relaxing activities;
— Regular corporate events;
— Nice office with a beautiful kitchen and delicious buffet at the business center :)
— Create streaming data models and reports to provide critical answers to key product and management question;
— Create data models that take advantage of streaming data;
— Understand BI report requirements to create reports using our new streaming pipeline flow;
— Monitor existing metrics, analyze data, and partner with other internal teams to solve difficult problems to improve user experience.
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The main technology stack for the position: Python, SQL, Tableau, AWS, Athena, Redshift, Kafka, RabbitMQ.