Wizard
Artificial Intelligence • eCommerce • Retail
Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.
Staff Data Engineer, Spark
Job not on LinkedIn
September 18
Wizard
Artificial Intelligence • eCommerce • Retail
Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.
📋 Description
• Design and evolve scalable, distributed data infrastructure across cloud platforms • Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads • Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem • Ensure data availability, reliability and quality through monitoring and automated auditing • Partner with engineering, AI and product teams on data solutions for business critical needs • Mentor and support data engineers, establishing best practices and code quality standards
🎯 Requirements
• 5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure • Bachelor's degree in Computer Science or a related field, or equivalent practical experience. • Deep expertise scaling Spark in production (Databricks, EMR, etc) • Strong understanding of distributed computing and modern data modeling for scalable systems • Proficient in Python with experience implementing software engineering best practices • Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases • Strong communicator with experience influencing cross functional stakeholders
Apply NowSimilar Jobs
September 16
Principal Data Engineer leading design and implementation of Trella Health's multi-tenant data lake handling PHI. Driving platform adoption, mentoring team, and maintaining critical pipelines.
Apache
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kafka
Kubernetes
Python
Spark
SQL
Terraform
September 12
Staff DataOps Engineer applying DevOps principles to GoodLeap's data platform; drive automation, observability, and reliability.
Airflow
Cloud
Terraform
September 6
Data Architect designing enterprise Databricks Lakehouse for Live Nation Entertainment. Lead architecture, modeling, governance, and mentorship across data platform.
🇺🇸 United States – Remote
💵 $144k - $180k / year
💰 Post-IPO Debt on 2023-01
⏰ Full Time
🟠 Senior
🔴 Lead
🚰 Data Engineer
AWS
Azure
Cloud
ETL
Hadoop
Kafka
NoSQL
Spark
August 24
Data Engineer role focused on SAP BW solutions development. Collaborate with teams and optimize data warehousing processes in this remote position.
Cloud
ETL
SQL
August 22
Lead design and implementation of scalable AWS/Azure data lakes, warehouses, and streaming platforms for Tkxel. Mentor engineers and ensure governance and security.
Airflow
Apache
AWS
Azure
Cloud
Docker
ETL
Informatica
Kafka
Kubernetes
Node.js
NoSQL
Spark
Tableau
Terraform