Data Engineer - Databricks
Ciudad de México - Toreo, MX
MXN 276K-300K (estimate) Mid-level Full Time
Tasks
- Automate ETL ELT
- Build data models
- Build data pipelines
- Build feature pipelines
- Design data pipelines
- Develop ELT processes
- Develop ETL processes
- Ensure data governance
- Ensure data quality
- Ensure data security
- Implement CI/CD
- Implement data ingestion frameworks
- Implement dataops best practices
- Improve data platform reliability
- Maintain data lakes
- Maintain data pipelines
- Maintain data warehouses
- Monitor data platform performance
- Optimize Databricks environments
- Optimize Spark workloads
- Provide production ready datasets
- Troubleshoot data platform issues
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure DevOps Services | Azure Functions | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake | Data Lake Storage | Data Modeling | Data Pipelines | Data Warehouse | DataOps | Databricks | Databricks Workflows | Delta Lake | Dimensional Modeling | ELT | ETL | Embeddings | Event Hubs | Git | Infrastructure as Code | Kafka | LLM Data Pipelines | Lakehouse | MLOps | MLflow | Machine Learning | Metadata Management | Python | SQL | Star Schema | Streaming Data | Synapse Analytics | Unity Catalog | Vector Databases | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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