Forwarded from Data Engineer Работа Вакансии
#DataEngineer #ContractPosition #Remote #SQL #BigData #FinancialData #Python #BigQ #Looker #Snowflake
Разыскиваем #DataEngineer на работу по контракту с крупной американской венчурной компанией.
Контракт на 6 месяцев с возможностью перезаключения договора.
Предпочтительна возможность работать в их часовых поясах, но возможны варианты.
Стек технологий: GCP (!), Snowflake, BigQ, Python, Looker
В идеале - full stack
Английский B2 и выше – условие обязательное.
Зарплата $5000 – 6500 NET
Для связи: https://t.me/Tary_bird, kivanova@braintch.com
Description of the Data Engineer contract position:
Location: Preferably San Francisco Bay Area, or remotely in the Pacific or Central Time zone.
Company:
A large venture company with assets of over $11 billion and employees in Austin, London, Menlo Park, and San Francisco.
What you will be doing:
As a data engineer, you will report to the head of data and analytics and help create the entire data structure and infrastructure supporting operations.
Responsibilities:
Design, create, and maintain the data infrastructure necessary for optimal extraction, transformation, and loading of data from various data sources using SQL, NoSQL, and big data technologies.
Develop and implement data collection systems that integrate various sources such as company proprietary data and third-party data sources, etc.
Create an automated process for collecting and visualizing user engagement data from CRM/UI.
What we are looking for:
Qualifications:
• Experience of at least 3 years as a data engineer or full stack in the field of data warehousing, data monitoring, and building and maintaining ETL pipelines.
• Valid experience with the Googl cloud platform (GCP).
• Deep experience with data pipeline and workflow management tools (e.g., Airflow).
• Solid knowledge and experience with database design, setup, and maintenance.
• Proven ability to work in highly dynamic environments with high product velocity.
• Strong proficiency in Python.
• Strong proficiency in SQL.
• Strong communication skills, both orally and in writing.
Bonus points:
• Experience in venture capital data operations/working with financial data.
• Familiarity with data visualization tools (e.g., Looker, Tableau, PowerBI, or similar), CRM (Affinity, Salesforce), automation tools (Zapier).
• Bachelor's or master's degree in computer science, database management, etc.
Разыскиваем #DataEngineer на работу по контракту с крупной американской венчурной компанией.
Контракт на 6 месяцев с возможностью перезаключения договора.
Предпочтительна возможность работать в их часовых поясах, но возможны варианты.
Стек технологий: GCP (!), Snowflake, BigQ, Python, Looker
В идеале - full stack
Английский B2 и выше – условие обязательное.
Зарплата $5000 – 6500 NET
Для связи: https://t.me/Tary_bird, kivanova@braintch.com
Description of the Data Engineer contract position:
Location: Preferably San Francisco Bay Area, or remotely in the Pacific or Central Time zone.
Company:
A large venture company with assets of over $11 billion and employees in Austin, London, Menlo Park, and San Francisco.
What you will be doing:
As a data engineer, you will report to the head of data and analytics and help create the entire data structure and infrastructure supporting operations.
Responsibilities:
Design, create, and maintain the data infrastructure necessary for optimal extraction, transformation, and loading of data from various data sources using SQL, NoSQL, and big data technologies.
Develop and implement data collection systems that integrate various sources such as company proprietary data and third-party data sources, etc.
Create an automated process for collecting and visualizing user engagement data from CRM/UI.
What we are looking for:
Qualifications:
• Experience of at least 3 years as a data engineer or full stack in the field of data warehousing, data monitoring, and building and maintaining ETL pipelines.
• Valid experience with the Googl cloud platform (GCP).
• Deep experience with data pipeline and workflow management tools (e.g., Airflow).
• Solid knowledge and experience with database design, setup, and maintenance.
• Proven ability to work in highly dynamic environments with high product velocity.
• Strong proficiency in Python.
• Strong proficiency in SQL.
• Strong communication skills, both orally and in writing.
Bonus points:
• Experience in venture capital data operations/working with financial data.
• Familiarity with data visualization tools (e.g., Looker, Tableau, PowerBI, or similar), CRM (Affinity, Salesforce), automation tools (Zapier).
• Bachelor's or master's degree in computer science, database management, etc.