Data Engineer chez Luma Financial Technologies

About the role

We are looking for an experienced Data Engineer to lead our data infrastructure development, focusing on building robust, scalable, and efficient data solutions. The ideal candidate will bring expertise in modern data engineering technologies and a proven track record of delivering high-performance data pipelines.

Please note sponsorship for U.S. work authorization is not available for this opportunity.

Key Responsibilities & Opportunities

•

Data Pipeline Development

• 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

Performance and Optimization

• Create and optimize sophisticated SQL queries for advanced reporting and analysis
• Develop efficient database queries with a focus on performance optimization
• Troubleshoot complex data transformation challenges

Monitoring and Reliability

• Implement and manage production data pipeline monitoring
• Develop proactive health checks and monitoring protocols
• Diagnose and rapidly resolve data integration issues

Cross-Functional Collaboration

• Interface effectively with product, engineering, and business intelligence teams
• Translate complex technical requirements into comprehensive data solutions
• Provide technical leadership and guidance on data engineering challenges

Qualifications

• 3-5 years of professional experience in data engineering
• Bachelor's degree in Computer Science, Data Science, or related field
• Excellent written and verbal communication skills
• Proven ability to collaborate effectively across geographical boundaries
• Proven technical expertise in:

o   Python

o   Advanced SQL

o   dbt

o   Snowflake

o   Data pipeline architecture

Please note sponsorship for U.S. work authorization is not available for this opportunity.