About the job
Data Pipeline Development & Infrastructure
- Design, construct, and sustain scalable data pipelines
- Create real-time and batch processing frameworks for both structured and unstructured data.
- Implement ETL/ELT workflows to gather data from diverse sources, ensuring maximum availability and performance.
- Enhance data storage and retrieval processes for both near real-time and batch operations.
- Guarantee a cost-effective and high-performance data infrastructure that evolves with business requirements.
Data Solutions & AI-Driven Applications
- Develop data pipelines for machine learning recommenders, search functionalities, and AI-enhanced features.
- Build and maintain data models, APIs, and integrations to facilitate analytics and customer applications.
- Support eCommerce-driven data solutions, including product recommendations, customer segmentation, and personalization models.
Collaboration & Continuous Improvement
- Collaborate closely with Data Architects, Analysts, and Product Teams to comprehend data requirements and deliver top-tier solutions.
- Monitor and resolve performance issues, ensuring the ongoing availability and efficiency of data pipelines.
- Continuously enhance cost-efficiency, performance, and scalability of data engineering solutions.
