Senior Data Engineer

Accountabilities:: Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Build and optimize processes for extracting, storing, indexing, and retrieving semantic representations of unstructured data to support advanced search and retrieval use cases. Develop lightweight analytics and dashboarding solutions that enable natural-language querying and AI-powered business insights. Define and manage prompt engineering techniques, orchestration workflows, and model fine-tuning processes supporting conversational and LLM-powered applications. Oversee vector data stores and implement efficient indexing strategies for retrieval-augmented generation (RAG) workflows. Collaborate with BI and data stakeholders to gather requirements for language-model initiatives and translate them into scalable technical solutions. Create and maintain comprehensive documentation covering data processes, workflows, pipelines, and model deployment routines. Stay current with emerging methodologies, technologies, and best practices across data engineering, MLOps, and LLM operations. Requirements: 8+ years of professional experience in data engineering. Strong Python skills for data engineering, transformation, advanced data manipulation, and large-scale processing. Hands-on experience with big data technologies such as Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Proven experience designing complex data pipelines using data from RDBMS, JSON, APIs, and flat-file sources. Advanced SQL and PL/SQL skills, combined with strong knowledge of Business Intelligence and data warehouse methodologies. Hands-on experience with relational databases and cloud-based database services such as Snowflake or Amazon Redshift. Understanding of software engineering principles and experience working across Unix, Linux, and Windows environments. Familiarity with Agile development methodologies and version control systems, including repository management, branching, merging, and collaborative development. Strong interest in business operations and an understanding of how robust BI systems support profitability, data-driven decision-making, and strategic insights. Excellent written and verbal English communication skills for collaboration with BI teams and business users. Experience with vector databases such as DataStax AstraDB is a plus. Experience developing LLM-powered applications using frameworks such as LangChain or LlamaIndex, including prompt engineering, RAG, and intelligent workflow orchestration, is desirable. Familiarity with open-source LLM frameworks such as Hugging Face Transformers or LLaMA-4, including fine-tuning and inference optimization, is a plus. Knowledge of MLOps tools and CI/CD pipelines for model versioning and automated deployments is desirable. Benefits: Fully remote work opportunity. B2B employment with gross USD compensation. Stable, long-term opportunity with strong growth potential. High-quality professional hardware. Learning and professional development opportunities. Financial support for professional training, seminars, and conferences. Employee referral program with rewards for successful referrals. Company-supported English language classes. Opportunity to work with talented professionals in a collaborative international environment. Applicants must be based in Latin America, and in-person identity verification is required. CV and interview process conducted in English.