Descripción de la oferta
More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries.Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.As a Senior Data Lead Engineer you will drive the evolution of our cloud‐based Data, AI, and BI platforms .Lead the Data, AI & BI roadmap for GTB, ensuring scalability, resilience, security, and cost efficiency.Design and evolve our data lakehouse architecture.Define and build domain-oriented data products aligned with data mesh principles (data-as-a-product, SLAs, contracts, domain ownership).Build and maintain data ingestion, ETL and transformation pipelines including CDC-based and event-driven ingestion.Implement and enforce data governance, data rules, data quality, data normalization/cleaning and guardrails.Enable AI/ML and LLM use cases (training, feature engineering, RAG, fine‐tuning, guardrails, monitoring).5+ years in Data Engineering , Data Platforms, AI Engineering or Advanced Analytics, ideally in large or regulated environments.~ Proven experience designing and building cloud data platforms and data lakehouse architectures (preferably AWS).~ AWS experience: S3, Lake Formation, Glue (Jobs, Crawlers, Data Wrangler), EMR.~ Hands-on experience with Databricks or EMR for large-scale data transformation.~ Strong background in data ingestion and ETL .~ Experience with CDC pipelines and event‐driven architectures for ingesting operational/transactional data.~ Experience integrating on‐premise data lakes with cloud platforms in hybrid architectures. xcskxlj ~ Involvement in data governance, data quality, data rules and guardrails.
