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Job Summary: The SSR Data Engineer is responsible for developing and maintaining advanced technical solutions for analyzing and leveraging large volumes of information. Key Highlights: 1. Designs, builds, and monitors data science platforms. 2. Ensures high technical quality standards and business requirements. 3. Facilitates data-driven decision-making. **Data Engineer (SSR) – Spark / Python / Azure ML (Hybrid)** San Isidro, Buenos Aires \| Hybrid Full-time **About the Role** The ML-focused SSR Data Engineer is responsible for developing and maintaining advanced technical solutions that enable effective analysis and exploitation of large volumes of information. Designs, builds, and monitors data science–related platforms and processes, ensuring high technical quality standards and meeting functional business requirements to facilitate data-driven decision-making. **What You'll Do** * Estimate projects, requirements, and efforts * Model the solution (parameterization 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** * Top-tier health insurance * Connectivity allowance * Company-sponsored training and certifications * Personalized career plan and continuous training * Birthday off * Welcome kit * Discounts on education (Siglo 21 and Coderhouse) * Partnerships with Unilever, Tienda Molinos, and other companies **Application** * If this role is for you, apply here now! * If it’s not for you, share it with your colleagues!
