This is a full-time work from home opportunity for a star** Data Engineer from LATAM.** IDT is looking for a skilled Data Engineer to join our BI team and take an active role in performing data analysis, ELT/ETL design and support functions to deliver on strategic initiatives to meet organizational goals. **Responsibilities**: - Design, implement, and validate ETL/ELT data pipelines-for batch processing, streaming integrations, and data warehousing, while maintaining comprehensive documentation and testing to ensure reliability and accuracy. - Maintain end-to-end Snowflake data warehouse deployments and develop Denodo data virtualization solutions. - Recommend process improvements to increase efficiency and reliability in ELT/ETL development. - Stay current on emerging data technologies and support pilot projects, ensuring the platform scales seamlessly with growing data volumes. - Architect, implement and maintain scalable data pipelines that ingest, transform, and deliver data into real-time data warehouse platforms, ensuring data integrity and pipeline reliability. - Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. - Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. - Should be willing to stay informed and learn emerging methodologies in data engineering, and open source technologies. **Requirements**: - 5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics. - Excellent English communication skills. - Effective oral and written communication skills with BI team and user community. - Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. - Design and implement event-driven pipelines that leverage messaging and streaming events to trigger ETL workflows and enable scalable, decoupled data architectures. - Experience in data analysis, root cause analysis and proven problem solving and analytical thinking capabilities. - 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 such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc. - 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. - Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. **Pluses**: - Experience in developing ETL/ELT processes within Snowflake and implementing complex data transformations using built-in functions and SQL capabilities. - Experience using Pentaho Data Integration (Kettle) / Ab Initio ETL tools for designing, developing, and optimizing data integration workflows. - Experience designing and implementing cloud-based ETL solutions using Azure Data Factory, DBT, AWS Glue, Lambda and open-source tools. - Experience with reporting/visualization tools (e.g., Looker) and job scheduler software. - Experience in Telecom, eCommerce, International Mobile Top-up. - Preferred Certification: AWS Solution Architect, AWS Cloud Data Engineer, Snowflake SnowPro Core. **Please attach CV in English.** The interview process will be conducted in English. **Only** accepting applicants from LATAM.