Essential Education, Experience and Interests:
Good theoretical knowledge of SQL
Knowledge and experience with MS SQL Server, Oracle, Postgres or MySQL
MS Analysis Services is highly desired
Technical degree (Bachelors of Science, Computer Science or equivalent) strongly desired; advanced degree (MS) preferred.
English: pre-intermediate
Proficient in ETL and hands-on experience with one of the ETL tools (like SSIS, Kettle or Talend).
Being able to construct and troubleshoot very complex queries and handling big data (Data transfer, import/export, storage, performance and security) is highly desired.
Experience in Data Migration from database and data warehouse application to Vertica
SaaS or cloud software development experience
Experience with Linux as a plus
Knowledge with Vertica, MongoDB and Hadoop a big plus
Experience in Scrum methodology
Good interpersonal (both oral and written) communication skills combined with a successful history of working with different cultures and directly with clients.
Ability to work effectively in a team.
Results-oriented, self-motivated and quick-learner.
Good track-record of successfully building robust systems through full lifecycle following repeatable, reliable and measurable processes.
Основной наш плюс — мы делаем продукт вместе с заказчиком, а не работаем на аутсорс. Минимум бюрократии, общение напрямую с разработчиками, бизнес-аналитиками и тестировщиками на стороне MedeAnalytics. Сложные но интересные задачи, при желании — командировки в США (Сан-Франциско, Даллас).
MedeAnalytics — стабильная компания, существует с 1994 года и активно растет (в среднем
Оформление (если нет своего) и ведение ЧП , абсолютно прозрачная система оплаты — прямой контракт с MedeAnalytics с перечислением денег напрямую на ваш личный счет в любом банке на ваш выбор.
Занимаем 3 этажа в бизнес-центре, в комнатах от 5 до 12 человек, один этаж полностью отдан под зону отдыха + кафе, свой небольшой спортивный зал, есть комната для хранения велосипедов с душем.
4 минуты от метро, стоянка
Essential Duties and Responsibilities:
Responsible for creating and maintaining systems that leverage big data and traditional BI technologies.
Work on engineering the Company data platform for scale, performance, and rock-solid reliability.
Work with engineering and product teams distributed across multiple locations.
The big data engineer will work closely with the product managers and developers to create and maintain the big data systems for large scale, high performance, and rock-solid reliability. This is a hands-on position that will require performing system development and maintenance activities for the exciting and dynamic medical fields.