Data Engineering Lead

MXN 750K-900K (estimate) Senior-level Full Time Found 1d ago

Tasks

• Build maintain scalable data models for analytics
• Collaborate to improve data processes and architecture
• Consolidate KPIs metrics attributes into standard data structures
• Design build reusable code components
• Develop manage automated data pipelines in Databricks
• Ensure data quality, performance, and reliability
• Maintain optimize and automate code repositories
• Refactor legacy code

Perks/Benefits

• Celebrations and support
• Flexible working
• Learning opportunities
• Mentoring and development
• Travel opportunities

Skills/Tech-stack

Component design | Cross-Functional Collaboration | Cross-functional | Data Architecture | Data Modeling | Data Pipelines | Data Quality | Databricks | Functional collaboration | GitHub | Performance Tuning | Reusable component design | Version control