Data ETL Engineer

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July 28

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IDT BY INDET GROUP

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Telecommunications • Finance • B2B

IDT BY INDET GROUP is a global company that develops communication and payment services, aiming to unite families and grow businesses worldwide. Founded in 1990, IDT has grown to become the third-largest voice carrier with operations in over 20 countries and an annual revenue of $1. 5 billion. The company is known for its variety of communication tools and financial services, including its flagship brand BOSS Revolution, which offers international calling, mobile top-up, and money transfer services. IDT also provides cloud-based VoIP solutions through Net2Phone, as well as sales management systems and POS equipment for small and medium-sized businesses via National Retail Solutions. Additionally, IDT Express offers voice termination, DIDs, and SMS services globally, while Awards2Go provides custom prepaid Visa cards. Based in Newark, New Jersey, IDT is committed to innovation and quality, serving a diverse, multicultural community.

201 - 500 employees

📡 Telecommunications

💸 Finance

🤝 B2B

📋 Description

• IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. 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 1500 people across 20+ countries, and have revenues in excess of $1.5 billion. • We are looking for a Mid-level Business Intelligence Engineer to join our global team. If you are highly intelligent, motivated, ambitious, ready to learn and make a direct impact, this is your opportunity! The individual in this role will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives to meet organizational goals across many lines of business. • * The interview process will be conducted in English.

🎯 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. • Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. • 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. • Excellent English communication skills. • Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.