Seeking a Data Engineer with Palantir expertise, focusing on scalable solutions and data workflows. Join EXL, a leader in data analytics and digital operations.
About the role
- Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high-volume environment.
Responsibilities
- Construir, mantener y mejorar pipelines de datos batch y en tiempo real (ETL/ELT), trabajando sobre arquitecturas existentes.
- Integrar fuentes de datos internas y externas (core, scoring, antifraude, CRM, entre otras).
- Operar y dar soporte al Data Lake / Data Warehouse regional.
- Implementar controles básicos de calidad de datos y validaciones operativas, siguiendo lineamientos definidos.
- Monitorear pipelines y colaborar en la resolución de incidentes y errores de datos.
- Colaborar en tareas de optimización de performance y uso de recursos en entornos cloud.
- Asegurar la correcta disponibilidad del dato para su consumo por equipos de BI, Analytics y modelos de riesgo/ML.
- Cumplir con políticas de seguridad y buenas prácticas de tratamiento de datos.
- Trabajar de forma colaborativa con otros ingenieros y áreas de negocio en requerimientos de datos.
Requirements
- Formación en Ingeniería, Computación, Ciencia de Datos o carreras afines.
- 3 o más años de experiencia en roles de Data Engineering o similares.
- Buen manejo de Python y SQL para procesamiento de datos.
- Experiencia práctica utilizando herramientas de procesamiento u orquestación como Spark, Airflow u opciones equivalentes.
- Experiencia trabajando con al menos un proveedor cloud (AWS, GCP o Azure).
- Conocimiento de bases de datos relacionales y no relacionales.
- Experiencia previa en fintech o entornos de alto volumen transaccional (deseable).
Benefits
- Modalidad: Presencial en CDMX los primeros 3 meses, luego híbrido.
- Ubicación: Ciudad de México.
- Jornada: Full-time.
- Tipo de contratación: Direct Hire.
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