Trafilea Tech E-commerce Group
eCommerce • Artificial Intelligence • Marketing
Trafilea Tech E-commerce Group is a next-generation consumer-tech platform and e-commerce group of brands. The company is powered by proprietary technology, world-class marketing, and operational excellence. Trafilea's ecosystem integrates data, technology, and systems to enhance all its brands, focusing on creating a frictionless, high-performing shopping experience. The group manages a real-time ad management technology and an AI-powered advertisement platform, enabling high-efficiency budget allocations and optimization across their operations. Trafilea has a significant impact with over 10 million customers and 30 million online users, making it a data-driven and tech-enabled powerhouse in the e-commerce industry.
201 - 500 employees
🛍️ eCommerce
🤖 Artificial Intelligence
Senior Analytics Engineer
October 13
Trafilea Tech E-commerce Group
eCommerce • Artificial Intelligence • Marketing
Trafilea Tech E-commerce Group is a next-generation consumer-tech platform and e-commerce group of brands. The company is powered by proprietary technology, world-class marketing, and operational excellence. Trafilea's ecosystem integrates data, technology, and systems to enhance all its brands, focusing on creating a frictionless, high-performing shopping experience. The group manages a real-time ad management technology and an AI-powered advertisement platform, enabling high-efficiency budget allocations and optimization across their operations. Trafilea has a significant impact with over 10 million customers and 30 million online users, making it a data-driven and tech-enabled powerhouse in the e-commerce industry.
201 - 500 employees
🛍️ eCommerce
🤖 Artificial Intelligence
đź“‹ Description
• Provide expertise to build and maintain data models for new and existing products • Create scalable and reliable frameworks to ensure accurate data shared with stakeholders • Analyze, design, implement, and maintain reports that produce business-critical data • Understand ETLs, using the current Apache Airflow • Propose new initiatives to improve performance, scalability, reliability, and overall robustness on metrics • Collect, process, and clean data from different sources using SQL & TABLEAU • Work side by side with Architects and Developers to ensure best practices and guidelines • Maintain detailed documentation of work to support data quality and governance • Create benchmark control of execution times for every pipeline • Provide feedback and expert points of view for data initiatives
🎯 Requirements
• 2-3 years of experience as a Data Analytics Engineer, BI Engineer, or similar • 5+ years of experience using SQL • 5+ years of experience using TABLEAU • 2+ years of experience with the AWS data ecosystem (S3, Glue, Athena, Redshift, Lambda, RDS ...) • Experience with large-scale data and query optimization techniques using SQL • Experience managing and monitoring data lakes systems • Strong experience using source control management and CI/CD (GitHub actions/Gitlab pipelines) • Nice to have: Experience with containerized (Docker, Kubernetes) environments in AWS using EKS/ECS and ECR • Nice to have: Knowledge and hands-on on cloud stream-processing systems
🏖️ Benefits
• 100% Remote • USD competitive salary • Paid time off • More benefits to be discussed
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