Microsoft SSR Programmer Analyst

Description

**RECRUITMENT – SQL/.NET Programmer Analyst (Development and Optimizer Configuration)** **Related fields of study:** Computer Systems Engineering, Industrial Engineering, or other related disciplines. **Quantity:** 1 **Language(s):** Spanish **Seniority:** Semi-Senior (SSr) **Profile:** SQL/.NET Programmer Analyst **Activities / Responsibilities** **1\) SQL Server Development and Maintenance** * Development and maintenance of stored procedures, functions, triggers, and ETL processes (DTS/SSIS). * Query analysis and optimization (query tuning). * Performance improvement, transaction handling, error management, and logging. **2\) .NET Development and Integration** * Development and customization of applications in C\#/.NET (ASP.NET Core, REST/SOAP services, WinForms). * Integration with batch processes and business services. * Defect correction and evolutionary enhancements focused on stability and maintainability. **3\) Optimizer Configuration and Support** * Configuration and tuning of optimizers and programming models: parameters, rules, constraints, and scenarios. * Validation of input and output data for models. * Analysis of optimizer-generated results and deviation detection. * Technical support for execution incidents or result-related issues. *This role does not require designing optimization algorithms, but rather configuring, tuning, and supporting existing optimizers.* **4\) Limited Functional Interaction** * Interaction with users to understand specific requirements and validate results. * Support for testing (UAT) and post-implementation adjustments. * Basic technical documentation of developments and configurations. **Skills / Required Knowledge** * Ability to analyze and resolve technical problems. * Advanced SQL Server (T-SQL, stored procedures, query optimization). * C\#/.NET development. * Practical experience working with models or optimizers from a technical perspective. * Excel usage for analysis and validation. **Added Value / Desirable** * Practical knowledge of optimization models (rules, constraints, heuristics). * Experience interpreting optimizer results. * Visual Studio and Azure DevOps (repositories, PRs, pipelines). * Development practices (version control, testing). Python knowledge