¡Activa las notificaciones laborales por email!
Mejora tus posibilidades de llegar a la entrevista
Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.
An innovative organization is seeking a Senior Data Engineer to lead the design and development of data pipelines and systems that drive data-driven decision-making. In this pivotal role, you will ensure the integrity and accessibility of data for AI models, collaborating with engineering teams to gather requirements and deliver impactful solutions. With a focus on continuous learning and a commitment to diversity, this role offers a unique opportunity to contribute to a mission-driven company that values your expertise and fosters a supportive work environment. If you are passionate about data engineering and eager to make a difference, this role is for you.
Join the publishing revolution.
Follow the links below to learn more about our work.
We provide a range of benefits across our locations, including but not limited to:
As a Senior Data Engineer, you will lead the design, development, and maintenance of data pipelines, platforms, and tools to drive data-driven decision-making across the organization. The role is based in the Artificial Intelligence team, playing a key role in ensuring the integrity and accessibility of data for AI models, both in experiments and production.
Please click the apply button on this page and submit your application in English. Inform us if you require any special accommodations to participate fully in our recruitment process. You can contact us at [contact info] for additional support.
Frontiers actively embraces diversity and is a safe, welcoming workplace. Recruitment is free from discrimination based on race, nationality, ethnicity, age, religion, disability, sex, gender identity, or sexual orientation. With employees from over 50 nations, our diversity creates vibrant teams and challenges us to appreciate multiple perspectives.
Senior IC
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala