Data Engineer, YouTube Marketing
Mexico City, CDMX, Mexico
MXN 440K-550K (estimate) Mid-level Full Time
Tasks
- Collaborate with cross-functional teams
- Design scalable data pipelines
- Develop data models
- Establish data quality checks
- Integrate metrics into data marts
- Maintain data pipelines
- Monitor data pipeline health
- Optimize data infrastructure performance
- Optimize data querying layers
- Translate business requirements into data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
C plus plus | Data Marts | Data Mining | Data Modeling | Data Pipeline Monitoring | Data Quality | Data Warehousing | Data pipeline | Database Administration | Flume | Generative AI | Go | Hadoop | Hive | Information Retrieval | Java | JavaScript | LLM interfaces | Machine Learning | MapReduce | MongoDB | NoSQL | Pig | Pipeline monitoring | Python | Spark | TensorFlow
Education
Roles
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