Job Summary: At Servinformación, we are seeking a Data Engineer to build and maintain critical data pipelines, ensuring information quality and speed for advanced analytics projects. Key Highlights: 1. Building and maintaining critical data pipelines 2. Guardian of information quality and speed 3. Agile environment where your ideas are implemented At Servinformación, data is our raw material for transforming industries. We seek a passionate **Data Engineer**, driven by efficiency and optimization, to join our elite team on advanced analytics projects. **The Challenge** Your mission will be to build and maintain critical data pipelines. You will serve as the guardian of information quality and speed, ensuring every query is optimized for large-scale analytical engines. **Your Tech Stack (What You’ll Master)** We seek someone proficient in: * **Advanced SQL:** Complex joins, CTEs, window functions, and extreme optimization. * **Google Cloud Platform:** Expert handling of **BigQuery, Dataflow/Datafusion, and Cloud Storage**. * **Cloud Architectures:** Experience with GCP, AWS, or Azure. * **Semi\-structured Data:** Fluent handling of **JSON** formats. * **Mandatory Requirement:** **Google Cloud Professional Data Engineer** certification. **What We’re Looking for in You** * Degree in Systems Engineering, Electronics, Telecommunications, or related fields. * **3 years of experience** in analytics and data management projects. * Proven experience in query partitioning and optimization. **Why Join Servinformación?** * **Hybrid Flexibility:** Balanced remote and on-site work. * **Certification Bonus:** We reward your commitment to continuous learning. * **Comprehensive Health Coverage:** Access to medical and psychological services 24/7\. * **Innovative Environment:** An agile setting where your ideas are implemented. * **Employment Contract:** Indefinite-term contract with all statutory benefits. Job Type: Full-time Salary: $40,000\.00 \- $45,000\.00 per month Application Question(s): * Do you have experience working with data in Google Cloud environments? * Do you have experience leading teams or projects? * Do you hold the Google Cloud Professional Data Engineer certification or higher? * What is your salary expectation in Mexican pesos? Work Location: Hybrid remote, 11000, Colonia Lomas de Chapultepec, CDMX