Data Engineer

Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Python, and SQL to support enterprise data needs.

Manage end-to-end data modeling in collaboration with business stakeholders, translating business requirements into scalable and efficient data models.

Build and optimize data ingestion, transformation, and processing workflows across multiple data sources and platforms.

Develop reusable and maintainable solutions using Python (Functional Programming and Object-Oriented Programming principles).

Deploy and manage data infrastructure and workflows using Terraform and cloud-native services.

Work with AWS and/or GCP environments to build scalable and secure data solutions, with adherence to cloud security best practices.

Partner with engineering teams and business stakeholders to deliver high-quality, trusted datasets that support reporting, analytics, and business initiatives.

Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data integrity.

• Contribute to the adoption of modern data engineering practices, automation, and platform enhancements within the organization.