Descripción de la oferta
ppWe are looking for a passionate Data Engineer to join our digital team and help drive innovative data solutions in a cutting‑edge Azure cloud environment. In this role, you will play a key part in enabling data-driven business decisions and supporting advanced analytics use cases through scalable, high-quality data pipelines. /ph3Key Responsibilities /h3ulliTake end‑to‑end ownership of data workflows: ingestion, storage, modeling, and pipeline development. /liliDesign and build robust, scalable data pipelines to support diverse business needs. /liliDevelop data‑driven solutions and analytics for a wide range of use cases. /liliSupport foundational data products and next‑best‑experience (NBx) initiatives in Azure. /liliCollaborate with cross‑functional digital teams to implement best practices in big data and data engineering. /liliApply strong analytical thinking and problem‑solving skills in complex, fast‑paced environments. /liliCommunicate effectively and work both independently and collaboratively. /li /ulh3Required Qualifications /h3ulliBachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. /liliSolid understanding of big data platforms and architectures. /liliHands‑on experience with version control (Git), data modeling and pipeline development, CI/CD tools (Azure DevOps or GitHub), and proficiency in at least one analytics/programming language: Python, Spark, or Scala. /liliExperience working with the Microsoft Azure ecosystem: Databricks, Data Factory, SQL/NoSQL databases, Unix/Linux shell scripting. /liliMinimum 2+ years of relevant experience. /liliFluency in English and Spanish. /li /ulh3Nice to Have /h3ulliFamiliarity with machine learning techniques. /liliExperience working in international and multicultural environments. /li /ulh3What We’re Looking For /h3ulliStrong time management and organizational skills. /liliExcellent communication and teamwork abilities. /liliA proactive mindset with the ability to thrive in unstructured environments. /li /ul /p #J-18808-Ljbffr
