Senior Data Engineer

🕒 February 9

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Trafilea Tech E-commerce Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

🤖 Artificial Intelligence

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.

📋 Description

• Analysis, Design, implementation, and maintenance pipelines that produce business-critical data reliably and efficiently using cloud technologies. • Develop new ETLs (Extract, Transform, Load), using the current Apache Airflow . • Propose new initiatives to improve performance, scalability, reliability, and overall robustness. • Collect, process, and clean data from different sources using Python & SQL. • Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects. • Assess and communicate effectively the effort for required developments. • Discover new data sources to improve new and existing data pipelines. • Be in charge of building and maintaining data pipelines and data models for new and existing projects. • 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 all data initiatives in the company. • Improve the quality of existing and new data processes (ETL), incorporating statistical process control, and creating alerts when anomalies are received from data sources at every step of the pipeline. • Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.

🎯 Requirements

• 5+ years of experience as a Data Engineer, ML Engineer, or similar. • 5+ 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. • 3+ 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). • Nice to have: Experience with containerized (Docker, Kubernetes) environments in AWS using EKS/ECS and ECR. • Knowledge and hands-on on cloud stream-processing systems. • Hand-on IAC solutions like Terraform or CloudFormation.

🏖️ 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!