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Antes de postularte
- Metodología de datos — cómo estimamos salarios e indexamos listados del catálogo.
- Hub de market research — tendencias de hiring y compensación (índice de reports).
- Primera indexación: 2026-08-17. Es cuando Catalitium indexó el anuncio — no necesariamente la fecha de publicación del empleador. Los roles pueden cerrarse o cambiar sin aviso.
- Los listados vienen de empleadores y partners; Catalitium no verifica cada claim. Confirma compensación y requisitos directamente.
Job description
The ideal candidate should have experience working with large datasets, distributed data processing, and modern data engineering practices. Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Databricks
Implement ETL/ELT workflows using PySpark, Spark SQL, and Python
Optimize Spark jobs for performance, cost, and scalability
Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)
Build and manage Delta Lake tables (ACID, time travel, schema evolution)
Integrate Databricks with Azure Data Lake Storage (ADLS Gen2)
Develop complex queries and transformations using SQL
Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases
Ensure data quality, validation, and monitoring
Follow best practices for security, access control, and governance in Azure
6+ years of experience in Data Engineering
Strong hands-on experience with Azure Databricks
Proficiency in Python for data processing
Strong knowledge of SQL (joins, window functions, performance tuning)
Hands-on experience with Apache Spark / PySpar...
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FAQ
- ¿Es oficial esta estimación salarial?
- Cuando aparece, el pago estimado es una señal del catálogo Catalitium, a veces mezclada con el rango del empleador — no una oferta. Compara con herramientas salariales.
- How do I track or match this role?
- Use Track in the Apply column to save progress locally, or Carl for a CV read on this role.
- Something wrong with this listing?
- Use Report a problem in the Apply column. Catalog freshness depends on ingest — we do not claim a continuous live ATS feed.
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