Big Data Engineering Lead
Ciudad de México, CDMX, MX
R
MXN 950K-1300K (estimate) Senior-level Full Time
Tasks
- Build and maintain enterprise data pipelines
- Define canonical data models
- Deliver data pipelines data products data services
- Drive pipeline reliability performance and scalability
- Ensure engineering execution solution quality and operational reliability
- Improve data quality across enterprise data assets
- Increase reuse of canonical data models and data products
- Lead engineering team development and coaching
- Partner with architecture and platform engineering teams
- Provide technical leadership for data foundation platform
- Reduce technical debt and improve operational stability
Perks/Benefits
Skills/Tech-stack
Agile | Data Lineage | Data Management | Data Modeling | Data Pipelines | Data Quality | ELT | ETL | Event Driven | Event-driven architecture | GraphQL | Master Data | Master Data Management | Metadata Management | Microservices | PySpark | Python | REST API | Real Time | Real-time Processing | SQL | Time processing
Education
N/A
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