Feature Engineering for facilitating easy, reliable, and fast creation, storage, and retrieval of machine learning features for model training and serving.
Key Job Responsibilities and Duties:
As a Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, focusing especially on data integrity and quality. You will work independently and will also be responsible for making technical decisions within a team.
End-to-end ownership of data integrity and quality in our data pipelines.
Providing tools that improve 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.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Solving issues with data and data pipelines, prioritizing based on customer impact.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Supplying to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
Promote and drive impactful and innovative engineering solutions.
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Qualifications & Skills:
We have found that people who match the following requirements are the ones who fit us best:
You have more than +3 years of professional experience as a Software Developer/Data Engineer and hold a degree in a quantitative field
You have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.
You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
You have built production data pipelines in the cloud, setting up data-lake and server-less solutions;
Proven knowledge of Python is required, JVM languages will be a plus
Knowledge of Snowflake, Hadoop, Hive, MySQL imports, Airflow, Oozie, Spark, CDC, Kafka.
Experience with Data Warehousing and ETL/ELT pipelines
Experience with ML monitoring and evaluation tools such as DBT.
You are excited by handling petabytes of data via Big data technologies.
Excellent communication skills - verbal and written
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
Working in a fast-paced and performance driven culture
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com
Application Process:
This section should provide:
Let’s go places together:
This role does not come with relocation assistance.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
