Trafilea Tech E-commerce Group
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.
eCommerce • technology • retail • marketing • apparel
Senior Data Engineer
April 16, 2024
Trafilea Tech E-commerce Group
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.
eCommerce • technology • retail • marketing • apparel
📋 Description
• Develop data pipelines and data model pipelines for new and existing products • Collect, process, and clean data from different sources using Python & SQL • Assess and communicate effectively the effort for required developments • Maintain detailed documentation of your work and changes to support data quality and governance • Provide feedback and expert points of view as needed to help thrive all data initiatives in the company • Create benchmark control of execution times for every pipeline
🎯 Requirements
• 2-3 years of experience as a Data Engineer, ML Engineer, or similar • 2+ years of experience using Python object-oriented programming and scripting • Strong experience creating data pipelines and ETL processes in modern technologies using Apache Airflow as the main workflow management tool • 2+ years of experience with the AWS data ecosystem (S3, Glue, Athena, Redshift, Lambda, EC2, 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)
🏖️ Benefits
• Collaborate with world-class talents in a data-driven, dynamic, energetic work environment • Opportunity to grow and develop both professionally and personally • Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion • Openness to new ideas and initiatives • Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more!
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