Databricks Practice Lead
Guadalajara, Jal., Mexico
MXN 789K-1080K (estimate) Senior-level Full Time
Tasks
- Define technical standards and best practices
- Design enterprise data platform architectures
- Develop scalable data pipelines
- Drive Databricks practice growth
- Drive lakehouse delta lake adoption
- Establish ETL ELT standards
- Implement data governance and security
- Lead technical discovery and solution workshops
- Mentor data engineers and solution architects
- Optimize performance and monitoring
- Provide architecture guidance
- Stay current with Databricks capabilities
- Support pre-sales solution design and proposals
- Support proof of concept initiatives
Perks/Benefits
- Coursera license
- Employee referral bonus
- Grocery vouchers
- Major medical expenses insurance
- Paid Certifications and Courses
- Paid leave
- Paid time off
- Savings fund
Skills/Tech-stack
Agile | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Event | Azure Event Hubs | Azure Key Vault | Azure Notebooks | Dagster | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Event Hubs | Key Vault | Lakehouse | Metadata Management | Microsoft Azure | Monitoring | Object-Oriented | Object-oriented programming | Performance optimization | Production Support | PySpark | Python | SQL | Unity Catalog
Education
N/A
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