We 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.
Key Responsibilities
- Take end‑to‑end ownership of data workflows: ingestion, storage, modeling, and pipeline development.
- Design and build robust, scalable data pipelines to support diverse business needs.
- Develop data‑driven solutions and analytics for a wide range of use cases.
- Support foundational data products and next‑best‑experience (NBx) initiatives in Azure.
- Collaborate with cross‑functional digital teams to implement best practices in big data and data engineering.
- Apply strong analytical thinking and problem‑solving skills in complex, fast‑paced environments.
- Communicate effectively and work both independently and collaboratively.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Solid understanding of big data platforms and architectures.
- Hands‑on experience with:
- Version control (Git)
- Data modeling and pipeline development
- CI/CD tools (Azure DevOps or GitHub)
- Proficiency in at least one analytics/programming language: Python, Spark, or Scala.
- Experience working with:
- Microsoft Azure ecosystem
- Databricks, Data Factory, SQL/NoSQL databases
- Unix/Linux shell scripting
- Minimum 2+ years of relevant experience.
- Fluency in English and Spanish.
Nice to Have
- Familiarity with machine learning techniques.
- Experience working in international and multicultural environments.
What We're Looking For
- Strong time management and organizational skills.
- Excellent communication and teamwork abilities.
- A proactive mindset with the ability to thrive in unstructured environments.
Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.
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