Data Engineer II

Data Engineer Customer Service (CS) is a technical subject matter expert who is responsible for the development, performance, quality, and scaling of Booking’s data assets, with a special focus on data engineering and data quality. As part of the CS Data Engineering team, the data engineer builds internal tools/infrastructure for other teams, or directly contributes to building user facing products. The Data Engineer CS reports to the Manager Data Engineering CS.

What You'll Be Doing:

• 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 of our core data assets;

  
  

• Drive efficiency and resilience by mapping data flows between systems and workflows across the company;

  
  

• Support data requirements of new and existing solutions by developing scalable and extensible physical data model(s) that can be operationalized within the company’s workflows and infrastructure;

  
  

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

  
  

• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality;

  
  

• 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.

What You'll Bring:

• Understand success starts with accountability and ownership

  
  

• Thrive with change and get things done

  
  

• Team up: care more about being successful and reaching goals together than individually

  
  

• Low ego, open, friendly and remembers that diversity gives us strength

Level of Education:

• Bachelor's degree in Computer Science or related field

Years of relevant Job Knowledge:

• 2 years of experience building data pipelines and transformations at scale, with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL, AWS

  
  

• 2 years of experience in data modeling

  
  

• 2 years of experience handling data streaming

Requirements of special knowledge/skills:

• Intermediate knowledge of data governance requirements based on standard methodologies, e.g.DAMA, and tooling for continuous automated data governance activities

  
  

• Proven understanding of data quality requirements and implementation methodologies

  
  

• Excellent English interpersonal skills, both written and verbal.