Sr Data Engineer (GCP)
Senior Data Engineer at Capgemini Engineering in Buenos Aires, designing and building batch and streaming data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS) for global client projects, collaborating in Agile teams using SQL, Python/Java, and Airflow.
- Compensation
- Not disclosed
- Location
- Buenos Aires, AR
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- +7 years of Data Engineering experience
- Advanced experience with Google Cloud Platform (BigQuery, Dataflow, GCS)
- Solid SQL knowledge
- Experience with Python or Java
- Knowledge of Apache Airflow
- Experience with Kafka or Pub/Sub
- Intermediate/advanced English
Nice to have
- Experience with Dataform or dbt
- Knowledge of Fivetran, Alation, or Immuta
- Google Cloud Professional Data Engineer certification
- Experience with Databricks or modern analytics platforms
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
En Capgemini trabajamos con organizaciones líderes a nivel mundial impulsando la transformación digital a través de datos, cloud e innovación. Hoy buscamos un/a Senior Data Engineer con sólida experiencia en Google Cloud Platform para participar en proyectos globales de alto impacto.
Responsabilidades
- Diseñar y desarrollar pipelines de datos batch y streaming.
- Implementar soluciones utilizando BigQuery, Dataflow, Pub/Sub y herramientas del ecosistema GCP.
- Colaborar con equipos multidisciplinarios en entornos Agile.
- Garantizar la calidad, escalabilidad y rendimiento de las soluciones de datos.
- Participar en revisiones técnicas y aportar buenas prácticas al equipo.
Requisitos
- +7 años de experiencia en Data Engineering.
- Experiencia avanzada en Google Cloud Platform (BigQuery, Dataflow, GCS).
- Sólidos conocimientos de SQL.
- Experiencia con Python o Java.
- Conocimientos de Apache Airflow.
- Experiencia con Kafka o Pub/Sub.
- Inglés intermedio/avanzado.
Deseables
- Experiencia con Dataform o dbt.
- Conocimientos de Fivetran, Alation o Immuta.
- Certificación Google Cloud Professional Data Engineer.
- Experiencia en Databricks o plataformas analíticas modernas.
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.