Job Summary: Join MUEBLERIAS VALDEZ BALUARTE as a Data Engineer to optimize SQL queries, design efficient ETL processes, and develop internal tools, collaborating within an innovative environment. Key Highlights: 1. Established company that values innovation and excellence in data management. 2. Collaboration with analysts to deliver robust technical solutions. 3. Professional development and continuous improvement. Opportunity: Join MUEBLERIAS VALDEZ BALUARTE as a Data Engineer. Work for an established company that values innovation and excellence in data management. Responsibilities: Optimize SQL queries and database structures to improve execution times. Design, develop, and maintain efficient and scalable ETL processes. Review and refactor code written by analysts (Python, SQL, etc.). Implement development best practices (testing, version control, documentation). Develop internal tools (web and/or mobile) to automate operational processes. Identify bottlenecks and propose technical improvements. Standardize development frameworks or templates across the team. Collaborate with analysts to translate business requirements into robust technical solutions. · Requirements: Bachelor’s degree in Computer Science, Information Systems, Computing, or related fields. Experience in data analysis and information database management. Knowledge of relevant analytical and programming tools. Ability to collaborate effectively in a dynamic environment. Strong communication skills and ability to produce clear reports. · Benefits: Work schedule from Monday to Friday. Benefits exceeding statutory requirements. Continuous improvement and professional development. · Join our team and contribute to the success of MUEBLERIAS VALDEZ BALUARTE with your data expertise. We are looking for a committed and passionate individual dedicated to information analysis! -Requirements- Minimum education: Higher education - Bachelor’s degree 1 year of experience Age: between 23 and 30 years Skills: Teamwork Keywords: engineers, ingeniera, ing, engineer, data