Administration

• Support and optimization of pipelines (ETL/ELT)
• Plan, build, and run pipelines in Databricks.
• Develop, validate, and optimize SQL and PySpark scripts.
• Ensure efficient cluster usage and optimize costs and performance.
• Design performance-oriented tables and data structures.
• Implement gates and data quality rules in:
• Databricks pipelines
• Delta Live Tables (DLT)
• Ensure that only trusted data reaches consumption layers.
• Perform logical and physical modeling in the Lakehouse.
• Keep the data model repository up to date.
• Maintain documentation and metadata catalogs.
• Support administration of the Databricks Workspace.
• Manage access profiles.
• Apply security and governance policies.
• Contribute to governance practices and standardization of data assets.
• Ensure data integrity, traceability, and consistency.
• Problem and solution management.
• Clear and effective interpersonal and professional communication.

Mid-level Data Administrator

Global SuccessFactors Learning Administrator

Administrador de OpenShift

Fund Administrator

Senior Lead, Systems Administration – DB2 Support