Lead Data Engineer
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Iniciar Sesión para Ver Match →Descripción del puesto
5+ years of experience designing and operating production data pipelines at scale, ideally within fintech or lending environments Proven ability to quickly understand a business domain and how its data is generated, and translate that into architecture decisions Demonstrated experience inheriting legacy data structures and remediating them end-to-end — data cleanup, deduplication, and quality frameworks Strong proficiency in Google Cloud (BigQuery) and working knowledge of Azure (Data Factory, ADLS) Production-level Python and strong SQL fluency, including BigQuery-specific optimization patterns like partitioning, clustering, and cost control Experience implementing medallion architecture with explicit schema contracts and lineage between layers Experience mentoring engineers or leading small teams is a plus Hands-on by default — you build, not just direct B2 English level or higher Skills Data Engineering Python SQL Google Cloud BigQuery Azure Azure Data Factory ADLS Medallion Architecture Data Governance
Requisitos y Perfil solicitado (Bases Oficiales)
Condiciones y Beneficios
- ✦Planilla con beneficios de ley o contrato internacional USD según régimen.
- ✦Presupuesto para capacitaciones, cursos online y certificaciones.
- ✦Flexibilidad horaria y ambiente multicultural de alto impacto.
