Senior Data Engineer - Mercado Envios

Description

Job Summary: As a Data Engineer at Mercado Livre, you will design and scale innovative and secure systems, working in a dynamic environment powered by cutting-edge technology and AI to democratize e-commerce and financial services. Key Highlights: 1. Design and scale innovative and secure systems 2. Work with cutting-edge technology and proprietary AI 3. Lead challenging, dynamic, and innovative projects As a Data Engineer at Mercado Livre, you will design and scale innovative and secure systems that solve real-world, high-impact problems. You will work in a dynamic environment leveraging cutting-edge technology, applying sound engineering practices, proprietary AI models, and continuous learning — all aimed at democratizing e-commerce and financial services across Latin America. Imagine yourself leading challenging, dynamic, and innovative projects and being **responsible for:** * Joining the Data Science team focused on Short-Term Forecasting (Forecast), working on key projects that impact real-time operational planning and execution. * Collaborating cross-functionally with agility, impact, and continuous improvement in mind — analyzing large volumes of data (inputs) and generating *insights* that enhance operational efficiency and short-term decision-making. * Designing, developing, and maintaining scalable and reliable data pipelines to support intraday forecasting models (D0 to D+3), enabling anticipation of operational behaviors and needs. * Automating data workflows using Python and SQL, improving both data quality and delivery speed. Collaborating with multidisciplinary teams to understand their requirements, translate them into technical solutions, and validate results. * Managing data across its entire lifecycle, ensuring its quality, integrity, and availability for Data Science teams. * Actively participating in continuous improvement initiatives, proposing ideas and solutions to optimize models, processes, and tools. ### **What are we looking for in you?** * Intermediate knowledge of statistics and *machine learning* (regression, classification, time series, supervised models). * Advanced proficiency in SQL, including CTEs (*Common Table Expressions*) and analytical/window functions such as LAG(), LEAD(), RANK(), and OVER(PARTITION BY ...). * Intermediate-to-advanced knowledge of Python (*pandas*, *numpy*; pySpark is desirable, ML libraries preferred). Basic-to-intermediate Git skills and experience collaborating via *Pull Requests*. * Experience handling large-scale data in production environments (*data lakes*, *data warehouses* in the cloud — e.g., BigQuery). * Familiarity with best practices in data management (versioning, quality, monitoring, testing). Are you excited to leave your mark on Latin American technology? Apply now and join our purpose! Hybrid work model. Location: Osasco/SP