• Design, develop, and maintain robust data pipelines using AWS AppFlow and AWS Glue
• Orchestrate and manage end-to-end data workflows to ensure reliability, scalability, and high performance
• Collaborate with cross-functional stakeholders to understand data requirements and deliver effective, business-aligned solutions
• Monitor, optimize, and troubleshoot data pipelines and ETL processes to improve efficiency and stability
• Ensure data quality, consistency, integrity, and availability across the entire data platform
• Proficiency in workflow orchestration tools such as Airflow or similar platforms
• Hands-on experience working with Snowflake for data warehousing and analytics
• Strong understanding of data engineering fundamentals, including ETL/ELT processes and scalable pipeline design
• Experience with Azure services, including Azure Storage, Azure Data Factory, and Event Grid
• Working knowledge of AWS cloud services such as S3, EC2, EKS, and Lambda
• Strong SQL skills for data transformation and pipeline development, along with experience using DBT
Increasingly helps retailers drive basket revenue and happier customers. The AI platform intelligently sells bundles and collections on-site, in-store, and in Google Shopping and Facebook ads. Typically growing AOV by +30%. Inspired by Amazons famous 'frequently bought together' feature, we create frictionless shopping experiences and bring Amazon-like precision to the rest of eCommerce.
We believe in giving customers a super-convenient, hyper-relevant, online experience!
