Работа Data Scientist
94 нови обяви за работа
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5,000 лв - 6,500 лв / месец (нето) от работодател
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Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult...
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Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult...
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Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
~~~ Our client was founded in 2006. They work as an offshore team for German company in social ecommerce marketing with sites in lots of countries (Germany, France, Canada, United Kingdom, Mexico etc.). If you want to work with database sizes measured in petabytes, or you get excited from heavy query loads, join our client's team and help them out. They are in need of your help if you are an experienced data engineer who has a thing for building things from scratch! Being a member of their Data Analytics team, you and your teammates will be a catalyst for change in how their organization stores, processes and utilizes data. The ultimate goal is ,via data, to give their business units a more thorough insight into customers' behaviors. Ideally this would not be the first time that you face this challenge before and you cannot wait to be challenged again!
About your new role:
- Help them to maintain and improve an in-house data warehouse that enables data analysis and data driven decisions for the whole organization;
- Build and manage ETL workflows to integrate data from many sources into a single source;
- Design a framework to ensure data is accessible, up-to-date, secure, consistent and complete.
Skills & Requirements:
- Experience in design and development of Data Warehousing;
- Skills in any ETL tool (Airflow, SSIS, etc.);
- A database knowledge and experience, optimization, troubleshooting;
- Experience with columnar database (BigQuery, Redshift, Clickhouse);
- Strong skills in SQL and Python;
- Experience working with REST APIs;
- Experience in design and management of data integrity / data validation processes;
- Hands-on experience with AWS technologies such as S3, Lambda, and IAM roles and permissions;
- Excellent communication skills in English to collaborate with an international team.
They can offer you:
- Dynamic and Friendly work environment;
- Open and transparent communication;
- Opportunity to join a great team;
- Remote position.
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If this position is of interest to you and you meet the requirements, please send your updated CV.
For any questions you may have, please contact us: 087 834 4981
Thank you!
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We will contact only approved candidates! Our services are free of charge to all applicants.
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All data provided by you is protected by the meaning of the Personal Data Protection Law and will be used only for the purposes of this selection.
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Средна заплата за сектора
5,000 лв ~ 6,500 лв / месец
Посочена от работодателя
500 лв / месец
13,500 лв / месец
Изследовател на данни/изследователка на данни
Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.
Необходими основни умения
- съставяне на научни или академични документи и техническа документация
- нормализиране на данни
- управляване на изследователски данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- взаимодейства професионално в научноизследователска и професионална среда
Необходими основни знания
- проучване на данни
- техники за визуално представяне
- извличане на информация
- статистика
- категоризиране на информация
- език за описание на търсене на мрежови ресурси
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