Are you a Data engineer looking to join a leading technology company to build products and features? Are you passionate about data and everything it powers? Are you ready to help people travel, go from anywhere to somewhere, possible? If this sounds like you, keep reading!
Introduction to team
Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group’s innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.
We're constantly looking for opportunities to improve the breadth and depth of the products we offer. From a strategic standpoint, our ambition is to unlock the power of Expedia for partners. Our mission is to fuel our partners’ growth through our unparalleled technology, travel supply and support services. We are about travel, but also about state-of-the-art technology, AI and ML. Data is our underlying foundation, and the only way to operate at our immense scale is to develop our own technologies and use cloud capabilities on positive and exciting test and learn environment.
As today, the streaming platform ingests more than 3.6b domain event messages per day, 11.5 TB, that we enrich and transform, making it available for all internal functions, people and services.
If you are someone with a growth mindset and love solving complex and challenging problems, come join us on this exciting journey.
In this role, you will:
Developing various facets of data capture, data processing, storage, distribution and visualization
Understanding and applying AWS standard methodologies and products (compute, storage, databases)
Writing clean, maintainable and well-tested code
Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency)
Communicating and documenting solutions and design decisions
Proposing new ways of doing things and contribute to the system architecture
Be part of an agile team that is continuously learning and improving.
Experience and Qualification:
Experience with at least one modern programming language (e.g. Scala, Python or Java etc)
Experience delivering and supporting highly available and scalable solutions with large transaction volume
Experience in working with Relational Databases and proven knowledge of SQL
Experience of using cloud services (e.g. AWS)
A passion for learning, especially in the areas of data, technology, service design patterns and system architecture
Be self-motivated with drive and good organizational skills to work in a multi-disciplinary team.
Our Team Really Enjoy:
A friendly and collaborative team who are keen to share their knowledge and constantly learn new things
A bias for action
You will get the opportunity to work on a cloud-based data lake backed by the full suite technologies and including Kafka, Spark, Scala, Airflow, Hive, Kinesis, EMR and Docker.
Job Type: Full-time
Ability to commute/relocate:
Madrid, Madrid provincia (Madrid): Reliably commute or planning to relocate before starting work (Required)
Experience:
SQL: 3 years (Required)
Spark: 3 years (Required)
Scala/Python: 3 years (Required)
AWS: 3 years (Preferred)
Language:
English (Required)
Location:
Madrid, Madrid provincia (Madrid) (Preferred)
Work Location: In person