Data Engineering
hace 4 semanas
Funciones que va a realizar en su colaboración:
- Design, development, and optimization of data pipelines using SQL and Databricks
- Implementation of data ingestion and transformation workflows using Spark in distributed environments
- Ensure data governance, lineage, and integrity across all stages of the data architecture
- Collaborate with teams across Data Engineering, Risk, Technology, and Business areas to deliver integrated data solutions
- Contribute to the automation of manual processes and the modernization of legacy reporting tools through scalable code
Requisitos:
- Minimum of 5 years of hands-on experience working with data engineering or data management in financial services or big data environments
- Proven expertise in SQL development (complex queries, optimization, CTEs, window functions)
- Practical experience with Databricks, Spark, or equivalent distributed data platforms
Calificaciones:
- Degree in a STEM field (Engineering, Computer Science, Mathematics, etc.) with a clear focus on data and analytics
- Additional training or certifications in data platforms or cloud-based data tools is a plus
Habilidades Requeridas:
- High level of English
- Advanced SQL development skills (required)
- Experience working with Databricks, Spark, and cloud-based data ecosystems
- Strong understanding of data modeling, normalization, and data quality practices
- Proficient in Excel, VBA, and Microsoft Office Suite
Rango salarial a negociar según experiencia.
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