Role Description:
In the Multi Vertical Search track, a core component of Marketplace, our mission is to create a truly flexible and multi-dimensional search experience for our travellers. One of the foundational capabilities to deliver this mission is the ability for our travelers to express their search intent naturally without constraints to find anything they need for their trip. This requires us to evolve and maintain our core search engine and the underlying data assets that are needed to bring the search engine to life.
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 quality. You will work independently and will also be responsible for making technical decisions within a team.
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, driving innovative engineering solutions to meet business requirements regarding performance, scaling, and data quality.
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.
Serving as the main point of contact for technical and business stakeholders regarding data engineering issues, such as pipeline failures and data quality concerns.
Acquiring technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Qualifications & Skills:
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 proven experience developing data pipelines in either Python or Java or Scala
You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; you have hands-on experience with schema design and data modeling.
You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
You have knowledge of Spark, CDC, Kafka, Cassandra, Airflow, Snowflake, DBT or equivalent tools
You have experience with Data Warehousing and ETL/ELT pipelines
You are driven by petabytes of our data via MySQL, Hadoop, Cassandra, etc
Excellent communication skills - verbal and written
Familiarity with the Hadoop Ecosystem is an asset
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: parental (22-weeks paid leave), grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office*
Commuting allowance and bike reimbursement scheme
Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Application Process:
Let’s go places together:
The interview process entails: an online coding challenge, a coding interview, a system design interview, and a final behavioral interview
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.
