обновлено 3 дня назад
Senior Data Engineer (Snowflake)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Snowflake): Building robust data models and reliable ETL pipelines for a production data platform supporting investment decisions with an accent on data warehouse design, data quality, and scalable data architecture. Focus on developing Snowflake-based pipelines, implementing complex SQL transformations, and evolving distributed data warehouse and lake patterns.
Location: Remote from Armenia, Brazil, Bulgaria, Colombia, Cyprus, Georgia, Kazakhstan, Latvia, Mexico, Poland, Romania, Serbia, or Uruguay; Remote LATAM
Company
is a global software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.
What you will do
- Design and implement robust data models using Snowflake.
- Develop reliable ETL pipelines and complex SQL transformations.
- Design and implement data warehouse solutions.
- Contribute to the evolution of a production data platform used for data-driven investment decisions.
- Support architectural changes that improve platform usage efficiency.
Requirements
- 5+ years of experience in data engineering or 3–5 completed projects.
- Experience with Snowflake, including Open Flow and Iceberg, Python, Azure, ETL pipelines, dbt, and complex SQL queries.
- Knowledge of data modeling, data quality, metadata management, data warehouse and data lake patterns, and distributed systems.
- Good spoken English required.
- Work location is limited to the listed countries and LATAM remote locations.
Nice to have
- Financial or investment industry experience.
Culture & Benefits
- Flexible remote, hybrid, and office work formats depending on the role and region.
- Vacation and sick leave according to the laws of the employee’s country.
- Health insurance support and paid sick leave.
- Time off for state holidays according to the employee’s official calendar.
- Coverage for IT certifications and access to professional learning platforms and courses.
- Corporate events, technical support, and equipment setup assistance.
Hiring process
- CV review followed by an HR interview.
- Communication and technical assessments covering English and relevant technologies.
- Project team discussion and potential client interview preparation.
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