Booking.com is looking for data savvy professionals to join our team.
As a Data Engineer, you will be working with stakeholders throughout
the company to ensure we have high quality data to power our business in
all departments. Decisions for every part of our business — from the
front end experience to performance marketing to partner products — are
driven by petabytes of our data via MySQL, Hadoop, Cassandra, etc. Your
challenge will be to make sure we can utilize our petabyte scale data
even more effectively to support business decisions and improve our
products. Joining a cross functional team of developers, designers, data
scientists, and product owners, we invite you to help us crunch the
data to ensure our place as the planet’s #1 accommodation site.
B.responsible
As a Data Engineer, you are responsible for the development,
performance, quality, and scaling of our data pipelines, with a special
focus on data quality. You will work independently and will also be
responsible for making technical decisions within a team.
Important aspects of the job include:
- Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
- Solving issues with data and data pipelines, prioritizing based on customer impact.
- End-to-end ownership of data quality in our core datasets and data pipelines.
- Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
- Providing tools that enhance Data Quality company wide.
- Providing self-organizing tools that help the analytics community
discover data, assess quality, explore usage, and find peers with
relevant expertise.
- Acting as an intermediary for problems, with both technical and non-technical audiences.
- Contributing to the growth of Booking.com through interviewing, on-boarding, or other recruitment efforts.
B.skilled
We are looking for driven Data Engineers who enjoy solving problems,
who initiate solutions and discussions and who believe that any
challenge can be scaled with the right mindset and tools.
The ones that fit us best are the people who match the following requirements:
- Minimum of 3 years of experience in the field, using 2 or more
server side programming languages — preferably Scala, Java, Python,
Perl, etc.
- Experience with building data pipelines in distributed environments
with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL,
etc.
- Demonstrable experience with SQL, HQL, CQL, etc.
- Hands on experience of developing in and contributing to open source data technologies, such as Hadoop
- Experience of working on systems on large scale
- Good understanding of basic analytics and machine learning concepts
- Preferably a university degree in Mathematics or Software Engineering
- Excellent communication, written and spoken
B.offered
- We are a performance-based company that offers career advancement
and lucrative compensation, including bonuses and stock potential. We
also offer what we call the “Booking Deal” with other competitive perks
and benefits.
- This position is open to worldwide candidates and, in the case of
relocation, we will assist you with a generous relocation package,
ensuring a smooth transition to working and living in Amsterdam.