Data Engineer

Data Engineers are responsible for the development, performance, quality, and scaling of Booking’s data pipelines, with a special focus on data quality. The incumbent will take part in the execution of technical tasks within the scope of data management. As part of a team, the data engineer builds internal tools/infrastructure for other teams, or directly contributes to building user facing products.

Responsibilities:

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines;

  
  

• Solving issues with data and data pipelines, prioritizing based on customer impact, and building solutions that prevent them from happening again (root cause);

  
  

• 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;

  
  

• Developing integrations between multiple applications and services, both on premise and in the cloud;

  
  

• Contributing to self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise;

  
  

• Building effective monitoring of data, and jumping in to handle outages.

  
  

• Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework.

This role may require to be on an on-call rotation

Data Engineer tech stack:

• You have knowledge of Spark, CDC, Kafka, Cassandra, Airflow, Snowflake, DBT or equivalent tools

  
  

• Experience with Data Warehousing and ETL/ELT pipelines

  
  

• Master degree