Senior Data Engineer
Sana Commerce
- الإسكندرية
- دائم
- دوام كامل
- The opportunity to make an impact at a fast-growing SaaS scale-up;
- A global and customized onboarding program (9,1/10 rated by previous hires);
- A hybrid working model – 3 days from the office, 2 days from home.
- 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.
- 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.
- 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.
- 5+ years of experience as a Data Engineer, working with Azure and Databricks
- Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing.
- Experience in big data technologies, and large-scale data storage.
- Familiarity with data governance, security, and compliance best practices and tools
- Proficiency in Python, and SQL, for data transformation, data quality and automation.
- Strong experience in optimizing data performance and cost-efficiency in cloud environments.
- Experience with eCommerce data solutions, such as customer segmentation, recommendation engines, and personalization models.
- Knowledge of event-driven architectures, streaming data processing, and real-time analytics.
- Familiarity with LLM-based AI applications and OpenAI or similar APIs.
- Champions of Our League. "We deliver lasting success, balancing quick wins and long-term value."