• 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
Skills Required
- Proficiency in workflow orchestration tools
- Hands-on experience with Snowflake
- Understanding of ETL/ELT processes
- Experience with Azure services
- Working knowledge of AWS cloud services
- Strong SQL skills
What We Do
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!
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