Data Pipeline Development & InfrastructureDesign, build, and maintain scalable data pipelinesDevelop 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 processesEnsure cost-efficient and high-performance data infrastructure that scales with business needs.Data Solutions & AI-Driven Applicationsdevelop 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 ImprovementWork 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.
