Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Responsibilities
- Definir la arquitectura de datos objetivo para la migración de Oracle Exadata a Google Cloud (BigQuery).
- Diseñar arquitecturas cloud escalables, resilientes y optimizadas en entornos GCP.
- Establecer estándares de modelado, integración, calidad y gobierno del dato.
- Diseñar estrategias de migración, modernización y transformación de plataformas de datos.
- Definir frameworks de ETL/ELT para ingesta, transformación y explotación de datos.
- Diseñar arquitecturas de datos orientadas a analítica avanzada e integración con Vertex AI.
- Optimizar rendimiento, costos y seguridad en entornos BigQuery.
- Asegurar cumplimiento de políticas de seguridad, privacidad y gobierno del dato.
- Actuar como referente técnico ante equipos de ingeniería y stakeholders de negocio.
Requirements
- Grado o máster en Matemáticas, Informática o un campo relacionado.
- 6+ años de experiencia en Data Management, Data Engineering o Arquitectura de Datos.
- Experiencia en servicios de Datos de Google Cloud Platform.
- Diseño de arquitecturas de integración y procesos ETL/ELT a gran escala.
- Conocimiento de patrones de arquitectura moderna (Data Lake, Lakehouse, Data Warehouse moderno).
- Experiencia en patrones de diseño de data warehousing y data lakes.
- Experiencia demostrada en la construcción y mantenimiento de data warehouses a gran escala, garantizando la calidad del dato a escala en Google Cloud Platform (GCP).
- Experiencia real en servicios de datos como BigQuery, Composer, Dataform, Dataproc, Pub/Sub, etc.
- Dominio avanzado de Google BigQuery (data modeling, particionamiento, clustering, optimización de costos).
Benefits
- Flexible work arrangements
- Professional development
- Employee well-being programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.