Job Title: Data Architect "> This is a full-time remote opportunity for an experienced data architect to design and implement scalable data pipelines that meet business requirements. "> - Design, implement, and validate ETL/ELT data pipelines using Python and other tools to ensure reliability and accuracy. - Maintain end-to-end data warehouse deployments and develop data virtualization solutions to support business intelligence and analytics. - Recommend process improvements to increase efficiency and reliability in ELT/ELT development. - Stay current on emerging data technologies and support pilot projects to ensure the platform scales seamlessly with growing data volumes. - Partner with stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. - Develop comprehensive documentation for all data processes, workflows, and model deployment routines. Requirements: - 5+ years of experience in ETL/ETL design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions. - Excellent English communication skills. - Effective oral and written communication skills with the BI team and user community. - Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. - Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and flat file sources. - Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services. - Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning. - Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating Systems, and experience with Agile methodologies. - Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Benefits: - Opportunity to work on a wide range of data-related projects and initiatives. - Collaborative and dynamic work environment. - Professional growth and development opportunities. Please attach your CV in English. "> The interview process will be conducted in English. "> Only accepting applicants from LATAM. "],