Senior Data Engineer / Data Architect
Capgemini Yerevan, Armenia
IT Services and IT Consulting · 10,001+ employees
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About the role
Design and implement end-to-end data architectures and solutions on Google Cloud Platform. Build scalable data pipelines for ingestion, transformation, and processing while ensuring data security and quality.
What they look for
Requirements
Requires solid experience in data engineering and hands-on expertise with Google Cloud Platform tools like BigQuery and Dataflow. Proficiency in Python, SQL, and infrastructure-as-code tools is essential, along with intermediate to advanced English skills.
Benefits
Full description
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
¡Sumate a Capgemini!
Buscamos un/a Sr Data Engineer / Data Architect con sólida experiencia en Google Cloud Platform, capaz de combinar diseño de arquitectura con desarrollo hands-on. La posición participará en proyectos globales de datos y analítica, trabajando en la construcción de soluciones escalables y productivas.
Responsabilidades
- Diseñar arquitecturas y soluciones de datos end-to-end sobre GCP.
- Construir pipelines de ingestión, transformación y procesamiento de datos.
- Trabajar con información estructurada y no estructurada.
- Implementar buenas prácticas de seguridad, observabilidad y calidad de datos.
- Colaborar con equipos de negocio y tecnología para entregar soluciones productivas.
Requisitos
- Experiencia sólida en Data Engineering y arquitectura de datos.
- Experiencia hands-on con Google Cloud Platform.
- Conocimientos avanzados de BigQuery, Dataflow, Cloud Storage y Pub/Sub.
- Dominio de Python y SQL.
- Experiencia con dbt, Airflow o Cloud Composer.
- Conocimientos de ETL/ELT, modelado de datos y arquitecturas Medallion.
- Experiencia con Terraform, CI/CD o herramientas de infraestructura como código.
- Inglés intermedio/avanzado.
Deseables
- Experiencia con Vertex AI, Document AI, OCR o LLMs.
- Conocimientos de procesamiento de documentos y datos no estructurados.
- Experiencia con IAM, seguridad y gobierno de datos en GCP.
- Conocimientos de procesamiento batch y streaming.
- Certificación Google Cloud Professional Data Engineer.
Beneficios
Reintegro por gastos de virtualidad Prepaga OSDE Beneficios en Megatlon y Fiter Descuento del 70% en CUI (inglés, francés y portugués) Cursos y certificaciones en Udemy y Next
#LI-LB21
Job Description - Grade Specific
Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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