Senior Data Engineer Sana Commerce

At Sana Commerce, we are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure. You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and contribute to AI/ML-powered solutions that drive internal decision-making and customer-facing insights.

This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL. You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences.

Data Pipeline Development & Infrastructure

• Design, build, and maintain scalable data pipelines
• Develop real-time and batch data processing frameworks for structured and unstructured data.
• Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance.
• Optimize data storage and retrieval of data in (near) real time and batch processes
• Ensure cost-efficient and high-performance data infrastructure that scales with business needs.

Data Solutions & AI-Driven Applications

• develop data pipelines for ML recommenders, search functionality, and AI-enhanced features.
• Develop and maintain data models, APIs, and integrations to support analytics and customer applications.
• Support eCommerce-related data solutions, including product recommendations, customer segmentation, and personalization models.

Collaboration & Continuous Improvement

• Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions.
• Monitor and troubleshoot performance issues, ensuring high availability and efficiency of data pipelines.
• Continuously optimize cost, performance, and scalability of data engineering solutions.