Data Engineer (Databricks)

Position Summary

We are seeking a highly skilled Data Engineer with 7+ years of experience designing, developing, and supporting enterprise-scale data platforms. This role will support a strategic initiative to migrate a legacy Netezza environment to Databricks, enabling next-generation analytics and data-driven decision making across customer-facing retail operations.

The successful candidate will play a critical role in modernizing a highly visible and business-critical customer data platform that supports operations. The idóneo candidate brings deep expertise in Databricks, PySpark, data engineering best practices, and cloud-based data architecture, along with experience building scalable ingestion, transformation, testing, and monitoring solutions.

Key Responsibilities
- Provide support to the migration of legacy data assets from Netezza to Databricks.
- Design, develop, and optimize scalable data pipelines using PySpark.
- Build and support batch and streaming ingestion frameworks for enterprise data processing.




- Implement data transformation and conversion strategies to support platform modernization initiatives.
- Develop and maintain data solutions utilizing Databricks Lakehouse architecture and Medallion design patterns.

Establish and enforce engineering best practices, including:
- Coding standards
- CI/CD pipelines
- Automated testing frameworks
- Data quality validation processes
- Monitoring and operational support procedures
- Collaborate with business stakeholders, architects, analysts, and engineering teams to deliver high-quality solutions.
- Perform code reviews and mentor junior team members on data engineering best practices.
- Troubleshoot and resolve performance, scalability, and data integrity issues.
- Drive continuous improvement initiatives across the data engineering ecosystem.
- Support integration testing, regression testing, and production deployment activities.

Required Qualifications
- Bachelor's degre

📌 Senior Data Engineer (Argentina)
🏢 Ascendum Solutions
📍 Argentina