Напиши текст вакансии для должности "Senior DWH / ETL Data Engineer". Название компании: "Quantori". Расположение: Санкт-Петербург. График работы: Полный день. Опыт работы: От 3 до 6 лет. Ключевые навыки: 'SQL', 'ORACLE', 'Английский язык', 'Snowflake', 'PostgreSQL', 'AWS', 'Amazon Web Services', 'Azure', 'GCP', 'Google Cloud Services', 'ETL', 'Apache Airflow', 'AWS MWAA', 'Python', 'Spark', 'AWS Glue', 'Apache NiFi', 'Informatica', 'IBM DataStage', 'Talend', 'Business Intelligence Systems', 'Tableau', 'Power BI', 'QlikView'

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. Please note: If you lack any of the expected skills, feel free to apply anyway, as we may still consider your candidacy. What we expect:   In-depth knowledge of any relational database, such as Snowflake, Oracle, PostgreSQL, etc.   Background in using any of the following clouds: AWS, Google Cloud Platform, or Azure   Hands-on experience in building enterprise scale ETL solutions   Very strong SQL skills   Knowledge of tuning SQL query performance   Proficiency in optimizing data warehouse structures   Intermediate English or higher   Nice to have:   Experience with Apache Airflow (AWS MWAA)   Understanding of either AWS Glue or Apache NiFi   Knowledge of Python or another programming language   Experience with the Spark ecosystem   E2E experience in delivering data from raw source to final output   Knowledge of data quality measures   Expertise in any of the industrial ETL tools, such as Informatica PC, IBM DataStage, Talend, etc.   Experience in using BI tools, e.g., Tableau, QlikView, Power BI, etc.    We offer:   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