Data Engineer

• Consolidate two AWS Aurora Postgres instances into a single managed Postgres setup with minimal downtime.
• Manage and improve existing data pipelines (Fivetran, Hevo, AWS DMS) to enhance reliability, reduce latency, and facilitate fault detection.
• Oversee the migration from DynamoDB to Postgres and Snowflake as part of a data platform simplification initiative.
• Implement monitoring and alerting for pipeline health, data quality, and schema consistency.
• Develop and maintain optimal ETL/ELT processes across multiple data sources.
• Support the design and refactoring of data models and schemas aligned with evolving business requirements.
• Ensure all data processes adhere to HIPAA and security compliance standards.
• Communicate plans, progress, and outcomes effectively with both technical and non-technical stakeholders.
• Collaborate with global teams across multiple time zones.

Senior Data Engineer

Ingeniero de Datos

Senior Data Engineer, Databricks, GCP – Marketing Analytics

Data Engineer

Mid Data Engineer

Mid-Level Data Engineer