Senior Data Engineer

We are looking for a Data Engineer to build and scale robust data solutions that support critical business needs.

This role focuses on developing high-performance pipelines, enabling reliable data transformation, and delivering production-ready systems.

The ideal candidate brings strong experience in Python, SQL, Databricks/PySpark, and modern data engineering practices.

• Build, scale, and maintain robust data solutions.
• Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed.
• Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments
• Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
• Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.

• A bachelor's degree or higher in a STEM field, required
• Concentration in Computer Science, Math, Physics or other engineering related field, preferred

• 5+ years of experience in data engineering or a related discipline, with a proven track record of success.

• Expertise in Python and SQL, with a strong foundation in data manipulation and analysis.