ETL/ELT - Data Engineer

Overview Join to apply for the ETL/ELT - Data Engineer role at IDT Corporation . This is a full-time work-from-home opportunity for a Data Engineer from LATAM. IDT is an American telecommunications company founded in 1990 and headquartered in New Jersey. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1300 people across 20+ countries, and have revenues in excess of $1.5 billion. 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. 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 with BI team and user community. Experience using 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, with hands-on experience in database systems and cloud services such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc. Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, with performance-tuning recommendations. Understanding of software engineering principles and experience with Unix/Linux/Windows, and Agile methodologies. Proficiency in version control systems and distributed development. Interest in business operations and understanding of how BI systems drive profitability through data-driven decisions. Pluses Experience developing ETL/ELT processes within Snowflake and complex data transformations. Experience with Pentaho Data Integration (Kettle) / Ab Initio ETL tools. Experience designing 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 Certifications: 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr