Data Engineer
Remote | 5000 – 6500$ NET
Разыскиваем Data Engineer на работу по контракту с крупной американской венчурной компанией.
Работа удалённая, но не с территории России или Беларуси – условие обязательное.
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.
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.
Для связи: https://t.me/Tary_bird, kivanova@braintch.com
