Senior Data Engineer

Data Pipeline Development:

• Design scalable data pipelines from diverse sources.
• Focus on data quality, reliability, and performance.
• Maintain comprehensive data monitoring and alerting processes.

Data Orchestration:

• Utilize dbt and Snowflake to structure and transform data.
• Optimize workflows for improved accessibility.
• Implement best-in-class processes and CI/CD for data pipelines.

Collaboration and Standards:

• Collaborate with cross-functional teams to deliver data solutions.
• Communicate complex technical topics to various audiences.
• Establish rigorous code review, testing, and documentation standards.