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Data Engineer

American telecommunications company founded in 1990, industry leader in prepaid communication and payment services and international voice carrier.
Santiago, Santiago Metropolitan Region, ChileBrasília, Brasilia - Federal District, BrazilLima, Peru
Data
Senior Software Engineer
Remote
1,000 - 5,000 Employees
5+ years of experience
Telecommunications

Description For Data Engineer

IDT Corporation, a NYSE-listed telecommunications leader with $1.5B+ revenue and 1300+ employees across 20+ countries, seeks a remote Data Engineer in LATAM. This role combines technical expertise with business impact, focusing on building and maintaining critical data infrastructure. The position offers the opportunity to work with modern technologies like Snowflake, Python, and various ETL tools while contributing to strategic initiatives. The ideal candidate will bring 5+ years of experience in data engineering, strong communication skills, and a deep understanding of data warehouse solutions. This role is perfect for someone who wants to join a stable, global company while working remotely from LATAM, leveraging their technical skills to drive data-driven decision-making. The position combines hands-on technical work with strategic thinking, offering exposure to cutting-edge data technologies and complex business challenges in the telecommunications industry.

Last updated 12 days ago

Responsibilities For Data Engineer

  • Design, implement, and validate ETL/ELT data pipelines for batch processing, streaming integrations, and data warehousing
  • Maintain Snowflake data warehouse deployments and develop Denodo data virtualization solutions
  • Recommend process improvements for ELT/ETL development
  • Stay current on emerging data technologies and support pilot projects
  • Architect and maintain scalable data pipelines
  • Partner with stakeholders to gather requirements
  • Create and maintain comprehensive documentation

Requirements For Data Engineer

Python
  • 5+ years of experience in ETL/ELT design and development
  • Excellent English communication skills
  • Experience with Python for data engineering tasks
  • Experience designing event-driven pipelines
  • Expertise in SQL and PLSQL programming
  • Experience with data analysis and root cause analysis
  • Knowledge of RDBMS, JSON, API and Flat file sources
  • Experience with Unix/Linux/Windows Operating systems
  • Proficiency in version control systems
  • Understanding of business operations and BI systems

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