Senior Data Analytics Engineer

🔥 13 hours ago

🌐 Argentina, Brazil, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Trafilea Tech E-commerce Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

📦 Logistics

💼 Consulting

🏭 Manufacturing

Logistics • Consulting • Manufacturing

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

• Architect, scale, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle • Design and optimize SQL transformations, datasets, and high-quality data models • Build, centralize, and maintain dashboards and analytical tools • Translate business needs into scalable BI solutions • Establish governance, monitoring, alerting, SLAs, data validation, and anomaly detection • Perform root-cause analysis to ensure accuracy, reliability, and trust in business metrics • Operationalize machine learning models in batch and real-time environments • Build internal data tools for Marketing Science, Analytics, and commercial teams • Optimize complex SQL queries and large-scale datasets for performance, cost-efficiency, and scalability across AWS • Partner with cross-functional teams to define and report core business metrics such as CAC, ROAS, LTV, and conversion funnels • Guide executive decision-making through data insights

🎯 Requirements

• 4+ years in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments • Advanced SQL proficiency (joins, CTEs, window functions, optimization) • Experience designing and maintaining production data models and pipelines • Hands-on experience with core AWS data services, including Redshift, S3, Glue, Athena, and Lambda • Hands-on experience with Apache Airflow for workflow management • Strong Python skills with an OOP focus • Experience with CI/CD practices, including GitHub Actions or GitLab • Experience with containerization using Docker and Kubernetes/ECS/EKS • Proficiency with BI platforms such as Tableau, QuickSight, or similar • Direct ownership of production reporting, data quality, and root-cause analysis • Systems-level thinking and high standards for documentation, scalability, and precision • Ability to communicate insights to technical and non-technical partners • Experience with dbt or modern ELT frameworks • Specialized e-commerce and marketing analytics expertise, including CAC, ROAS, LTV, retention, and funnel optimization

🏖️ Benefits

• 100% Remote • USD competitive salary • Paid time off • Dynamic, diverse, and talented global team • Investment in AI and automation • Opportunities for talent growth