Principal Data Engineer
Mexico City, MEX, Mexico
MXN 721K-986K (estimate) Senior-level Full Time
Tasks
- Architect data lakes and data warehouses
- Build and optimize cloud data platforms
- Define long-term data architecture strategy
- Design scalable data pipelines
- Drive data engineering best practices
- Ensure data quality, reliability, and observability
- Implement DataOps and CI/CD pipelines
- Mentor engineers and conduct code reviews
- Own end-to-end data workflows
- Translate business requirements into data solutions
- Troubleshoot data pipeline and performance issues
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | CI/CD | Cloud platform | DBT | Data Governance | Data Modeling | Data Quality | Data orchestration | Databricks | Dimensional Modeling | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Lakehouse | Medallion Architecture | Observability | PySpark | Python | SQL | Snowflake | Terraform | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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