Напиши текст вакансии для должности "Data Engineer (SQL)". Название компании: "Quantori". Расположение: Санкт-Петербург. График работы: Полный день. Опыт работы: От 1 года до 3 лет. Ключевые навыки: 

Quantori is a young company with a long history. We have over twenty years of experience developing software for the pharmaceutical industry, driving their data strategies in the big data revolution. Quantori is transforming life sciences and healthcare with the power of digital IT. We develop intelligent solutions that provide insights to help our partners make data-driven decisions that innovate drug development and improve patient care. With deep domain knowledge, Quantori combines advanced data analytics, scientific knowledge management, and best-in-class software engineering to speed up time to market and improve the agility of the research process. Quantori is an international team: we have colleagues who work both from offices and remotely across the world. We are looking for a Data Engineer who is eager to use an opportunity to learn Apache Spark and AWS. We offer a short but intensive re-education course with paid certification on top. You will help us build a medical research platform that will allow its users to record data, display reports, and calculate results and statistics. The product will be used by pharmaceutical companies and academic laboratories to conduct research regarding the spread of certain diseases. You will be working as a part of the customer’s agile team closely paired with data scientists, who help analyze incoming data, with the working hours from 4 pm to 12 am (GMT+3). Responsibilities:   Source, extract, structure and consolidate all types of data, making it available for analytic work   Ensure quality and consistency of the existing and future data flows   Ensure optimal architecture and technical design for solutions   What we expect:   Strong SQL skills   Knowledge of any relational databases (Oracle, MS SQL, PostgreSQL, etc.)   Strong-intermediate English or higher (B1+)   Nice to have:   Experience with Spark   Experience with Python   We offer:   Highly competitive compensation   Remote or office work   Flexible working hours   Medical Insurance   One-on-one English lessons   Continuous education, mentoring and professional development programs   Skillful and supportive management   A team with an excellent tech expertise   Certifications paid by the company