Data Engineer - Accommodations

Key Skills

Apache Cassandra, Apache Hadoop, Apache Hive, Effective communication skills, ETL/ELT technologies, Java Programming, MySQL, NoSQL, Scala Programming, Sqoop

Job Description

Role Description: 

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

Booking.com is looking for a data-savvy professional to join our team. As a Data Engineer, you will be working with partners 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 apply our petabyte-scale data even more effectively to support business decisions and improve our products. Joining a multi-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.

You will be part of the Customer Data Team:

In Customer Data, our mission is to create a competitive advantage by building a clear understanding of our travelers and partners through data. One of the foundational tasks to deliver this is to build a source of truth in the company for Trips Data, both at a transactional and Customer level. Some main projects involve connecting data from different products, bringing the connected trip to life in our databases, metrics and insights, crafting a data warehouse, applying use cases of this data to the business such as cross-selling opportunities and many more to come. 

Key Job Responsibilities and Duties: 

As a Senior 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.

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 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.
• 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

Role Qualifications and Requirements: 

• You have more than +7 years of professional experience as a Software Developer/Data Engineer and hold a degree in a quantitative field
• 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)
• Proven knowledge of Python is required, Java/Scala will be a plus
• Knowledge of Hadoop, Hive, Sqoop, MySQL imports, Oozie, Spark, CDC, Kafka, Cassandra, Airflow.
• 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

Benefits & Perks: 

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer competitive compensation and thoughtful, valuable, and even fun benefits, which include:

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
• Working in a fast-paced and performance driven cultural environment

• Annual paid time off and generous paid leave scheme including: parent (22-weeks paid leave), grandparent, bereavement, and care leave
• Full relocation support will be offered for you and your family (if the case) to move to Amsterdam - one of the most cosmopolitan cities in Europe.
• 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)
• On-site meals, coffee, and snacks, including healthy and vegan options, daily*
• Meditation and Breastfeeding rooms at the office*
• 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