Senior Data Engineer

Job not on LinkedIn

🔥 16 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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Logo of IDT BY INDET GROUP

IDT BY INDET GROUP

201 - 500 employees

📡 Telecommunications

💸 Finance

🤝 B2B

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.

📋 Description

• Design, develop, and maintain scalable data pipelines supporting ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services • Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data • Architect and implement lightweight analytics and dashboarding solutions delivering natural language query experiences and AI-backed insights • Define and execute prompt engineering, orchestration, and model fine-tuning processes for conversational interfaces • Oversee vector data stores and develop efficient indexing methodologies for retrieval-augmented generation (RAG) workflows • Partner with data stakeholders to gather requirements for language-model initiatives and translate them into scalable solutions • Create and maintain documentation for data processes, workflows, and model deployment routines • Stay informed about and learn emerging methodologies in data engineering, MLOps, and LLM operations

🎯 Requirements

• 8+ years of experience as a Data Engineer • Demonstrated experience utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing • Hands-on experience with Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion • Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and flat file sources • Demonstrated skills in SQL and PL/SQL programming • Advanced mastery in Business Intelligence and data warehouse methodologies • Hands-on experience with relational database systems and cloud-based database services such as Snowflake/Redshift • Understanding of software engineering principles • Skills working on Unix/Linux/Windows operating systems • Experience with Agile methodologies • Proficiency in version control systems, including managing code repositories, branching, merging, and collaborating within a distributed development environment • Interest in business operations and understanding of how robust BI systems drive corporate profitability • Effective oral and written English communication skills • Please attach CV in English • The interview process will be conducted in English • Applicants must be from LATAM • In-person verification will be conducted

🏖️ Benefits

• Remote work opportunity • B2B Employment ($, gross) • Stable job with long-term growth perspective with talented people around • Really good hardware • Great learning and growth opportunities • Compensation for professional training, seminars, and conferences • Referral program – get rewarded for helping us grow the team with talented people • Company-supported English classes to enhance your professional growth

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