




Job Summary: The SSR Data Engineer is responsible for developing and maintaining advanced technical solutions for analyzing and leveraging large volumes of information, designing and monitoring data science platforms. Key Highlights: 1. Development and construction of technical solutions with Unit Tests. 2. Design and execution of tests (unit, integration, regression). 3. Post-implementation support and knowledge transfer. **Data Engineer (SSR) – Spark / Python / Azure ML (Hybrid)** San Isidro, Buenos Aires \| Full-time Hybrid **About the Role** The ML-oriented SSR Data Engineer is responsible for developing and maintaining advanced technical solutions that enable effective analysis and utilization of large volumes of information. They design, build, and monitor data science–related platforms and processes, ensuring high technical quality standards and fulfilling business functional requirements to facilitate data-driven decision-making. **What You’ll Do** * Estimate projects, requirements, and efforts * Model the solution (configuration and/or programming) * Develop and build the solution, including Unit Tests * Design, build, and execute tests (unit, integration, regression) * Execute test cases and monitor deployed products * Provide post-implementation support and knowledge transfer **What We’re Looking For** * Experience with **Apache Spark** * Experience with **Apache NiFi** * Strong knowledge of **Python** **We Especially Value** * Azure Cognitive Services * Azure Machine Learning * Azure OpenAI * Azure Cognitive Search * General knowledge of Machine Learning / artificial intelligence **Work Modality** * Hybrid work arrangement **Benefits** * Premium health insurance plan * Connectivity allowance * Training and certifications sponsored by the company * Personalized career development plan and continuous training * Birthday leave day * Welcome kit * Discounts on education (Siglo 21 and Coderhouse) * Partnerships with Unilever, Tienda Molinos, and other companies **How to Apply** * If this role fits you, apply here! * If it’s not for you, share it with your colleagues!


