Data Platform Engineer
Queretaro - Queretaro, Mexico - Avenida 5 de Febrero
MXN 260K-260K (estimate) Mid-level Full Time
Tasks
- Build data lakes or lakehouse architectures
- Create documentation for pipelines schemas and architecture
- Define and maintain data models and data contracts
- Design end to end data ingestion pipelines
- Develop standardized data APIs for consumption
- Establish data governance privacy and compliance processes
- Implement cost aware data retention sampling and compression policies
- Monitor pipeline reliability performance and data quality
- Optimize pipeline execution time and resource usage
- Prepare curated datasets for AI and machine learning
Perks/Benefits
Skills/Tech-stack
API Development | AWS S3 | Anonymization | Azure | Compute Optimization | Data Contracts | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Retention | Databricks | Docker | Kafka | Lakehouse | Privacy | Pseudonymization | PySpark | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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