Luma Financial Technologies is looking to lead their data infrastructure development by building robust, scalable, and efficient data solutions, requiring an experienced Data Engineer with expertise in modern data engineering technologies and a proven track record of delivering high-performance data pipelines.
Requirements
- Python
- Advanced SQL
- dbt
- Snowflake
- Data pipeline architecture
Responsibilities
- Design, develop, and maintain advanced data pipelines in Snowflake using dbt
- Design, develop and maintain data pipelines using Python
- Implement and optimize complex ETL/ELT processes
- Ensure comprehensive data quality and consistency across multiple systems
- Create and optimize sophisticated SQL queries for advanced reporting and analysis
- Develop efficient database queries with a focus on performance optimization
- Implement and manage production data pipeline monitoring
Other
- 3-5 years of professional experience in data engineering
- Excellent written and verbal communication skills
- Proven ability to collaborate effectively across geographical boundaries
- Please note sponsorship for U.S. work authorization is not available for this opportunity.
