Мэтч & Сопровод
Покажет вашу совместимость и напишет письмо
Описание вакансии
Текст:
TL;DR
Data Engineer (Product Analytics): Building ETL pipelines, scalable data solutions, and data models with an accent on data architecture, governance, and security. Focus on designing logging frameworks, defining dataset SLAs, optimizing pipelines and dashboards, and solving complex data integration and quality issues.
Location: Not specified
Company
Company name not provided.
What you will do
- Build ETL pipelines and scalable data solutions.
- Create and maintain data models and own data architecture.
- Define and manage service level agreements (SLAs) for datasets.
- Design logging frameworks and implement data quality, governance, and security/privacy models.
- Develop data visualizations and query techniques; optimize pipelines and dashboards.
- Triaging and resolving data integration issues; influence product teams with data insights and mentor team members.
Requirements
- Strong experience building ETL pipelines and scalable data solutions.
- Proficiency with SQL and at least one programming language from the stack (Python, Scala, C#, or C++).
- Hands-on skills in data modeling, data architecture, and data governance.
- Ability to implement data quality practices and security/privacy models.
- Experience designing logging frameworks and defining dataset SLAs.
- Ability to develop data visualizations and optimize query/pipeline performance.
Culture & Benefits
- Mentorship and actionable feedback for team members.
- Collaboration with product teams using data-driven insights.
- Ownership of data architecture and production optimization.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
