8 дней назад
Data Engineer Lead (Snowflake)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer Lead (Snowflake/AWS): Designing and implementing scalable Snowflake ingestion architectures, end-to-end ELT pipelines, and data validation frameworks for enterprise data platforms with an accent on data quality, governance, and reliability. Focus on building AWS-based pipelines, applying Medallion Architecture, identifying bottlenecks, and leading client-facing engineering practices.
Location: Buenos Aires, Argentina
Company
AI services provider delivering data science, AI, technology, and data-driven strategy solutions for enterprise clients.
What you will do
- Design and implement scalable data ingestion architectures in Snowflake.
- Own end-to-end ELT pipelines integrating multiple data sources.
- Build data quality, validation, testing, monitoring, and governance frameworks.
- Develop and optimize AWS data pipelines using services such as S3, Glue, Lambda, and EMR.
- Apply Medallion Architecture across Bronze, Silver, and Gold data layers.
- Lead technical practices, documentation, risk mitigation, and continuous improvement for reliable data platforms.
Requirements
- 5+ years of experience in data engineering with a strong senior-level or lead mindset.
- Strong hands-on experience with Snowflake.
- Experience building ELT pipelines, data ingestion solutions, and large-scale data processing with SQL.
- Hands-on experience with AWS data pipelines.
- Understanding of Medallion Architecture and data governance practices.
- Client-facing communication skills and the ability to guide data engineering best practices.
Nice to have
- Experience with clean rooms such as AMC.
- Experience with CI/CD pipelines for data workflows.
- Experience with dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation.
Culture & Benefits
- Flexible working options.
- AWS, Databricks, and Snowflake certification opportunities.
- AI learning paths, study plans, courses, and access to Udemy Business.
- English lessons and professional mentorship programs.
- Company-provided equipment and opportunities to attend industry conferences and meet clients.
- Additional benefits may vary by location in LATAM.
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