17 дней назад
Data Engineer Lead (Snowflake)
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 and end-to-end ELT pipelines for enterprise data platforms with an accent on data quality, validation, governance, and reliability. Focus on building AWS-based pipelines, applying Medallion Architecture, identifying data risks and bottlenecks, and leading technical standards for client-facing delivery.
Location: Bogotá, Colombia
Company
is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for enterprise clients.
What you will do
- Lead the design and implementation of scalable data ingestion architectures in Snowflake.
- Own end-to-end ELT pipelines integrating multiple data sources.
- Design data quality frameworks with validation rules, testing strategies, and monitoring.
- Build and optimize data pipelines and architectures on AWS, including S3, Glue, Lambda, and EMR.
- Develop data validation and ingestion frameworks, including Streamlit-based UI components when needed.
- Lead technical practices for data engineering, governance, documentation, and pipeline reliability while identifying risks and bottlenecks.
Requirements
- 5+ years of experience in data engineering with a strong senior-level or lead mindset.
- Strong hands-on experience with Snowflake and AWS data pipelines.
- Experience building ELT pipelines and data ingestion solutions.
- Strong SQL skills and experience with large-scale data processing.
- Understanding of Medallion Architecture, including Bronze, Silver, and Gold layers.
- Client-facing communication skills and the ability to lead technical 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
- Certifications and learning paths in AWS, Databricks, Snowflake, and AI.
- Access to study plans, courses, Udemy Business, and role-specific certifications.
- English lessons to support professional communication.
- Mentorship and career development plans.
- Company-provided equipment, special day rewards, and travel opportunities for conferences and client meetings.
- Flexible working options; benefits may vary by location in LATAM.
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