Data Engineer

Experteer Overview¿No sabe con seguridad qué habilidades necesitará para esta oportunidad?Simplemente lea la descripción completa a continuación para obtener una idea clara de los requisitos del candidato.In this role you will design, build and operate enterprise-grade data infrastructure on Google Cloud Platform to enable analytics, AI and business decisions.You will work within Technology Architecture to evolve data foundations, promote reusable patterns, and ensure governed, AI-ready data platforms.You’ll tackle data ingestion, modeling, and reliable data flows with a focus on quality, observability, security, and performance.You will collaborate with cross-functional teams to deliver scalable data products that support analytics, AI engineering and enterprise data domains.This is an opportunity to shape a cloud-native data platform at scale while advancing data governance and trust.Compensaciones / Beneficios* Contribute to the enterprise data platform strategy and standards* Design, build and maintain scalable data pipelines on GCP* Develop BigQuery data models and curated datasets for analytics/AI* Implement automated ETL/ELT processes across multiple sources* Establish batch, near-real-time and event-driven data flows* Collaborate with AI Engineering to create AI-ready data foundations* Maintain documentation for workflows, architectures and dependencies* Support governance, observability and data security practices* Mentor junior contributors and share engineering best practices* Improve development standards and data engineering maturityResponsabilidades* 3-6 years of experience in data or analytics engineering or enterprise data platforms* Hands-on experience building scalable data solutions on Google Cloud Platform with BigQuery* Experience designing xqbhyrx and operating ETL/ELT, data models, data warehouses or lakehouse architectures* Experience with data governance, data quality, metadata, lineage or secure data access* Experience supporting analytics and AI use cases with production data pipelines* Experience integrating cloud systems with on-premise or third-party sourcesRequisitos principales* learning and development opportunities* international company with growth potential* competitive compensation and benefits package* collaborative and innovative work culture

• 3-6 years of experience in data or analytics engineering or enterprise data platforms
• Hands-on experience building scalable data solutions on Google Cloud Platform with BigQuery
• Experience designing xqbhyrx and operating ETL/ELT, data models, data warehouses or lakehouse architectures
• Experience with data governance, data quality, metadata, lineage or secure data access
• Experience supporting analytics and AI use cases with production data pipelines
• Experience integrating cloud systems with on-premise or third-party sources

• learning and development opportunities
• international company with growth potential
• competitive compensation and benefits package
• collaborative and innovative work culture