Data Engineer 3

Key responsibilities

  •  Design, implement, deploy, and maintain data marts, ETL (extract, transform, load) processes and systems. A.k.a. as our assets.
  •  Ensure the reliability, scalability, and performance of our data assets.
  •  Design and maintain quality indicators as well as the corresponding monitoring and alerting means.
  •  Troubleshoot and document issues respecting Amadeus standards.
  •  Continuous improvement mindset applied to data related issues, systems, and processes.
  •  Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization.
About the ideal candidate:

  •  Hands-on experience writing Production quality code in Scala (preferred) or PySpark or Java.
  •  Hands-on experience on big data technologies, including the mapr filesystem, Apache Spark, Hadoop, Kafka & Impala.
  •  Proven experience with the Apache Spark Architecture and components.
  •  Hands-on experience on scripting languages including Bash scripting and Python.
  •  Knowing different kinds of database technologies, including of course SQL.
  •  Previous work with no-SQL databases, like MongoDB will be a plus.
  •  Solid knowledge of build tools and in particular Maven and SBT.
  •  Experience on building and maintaining DevOps pipelines will be a plus.
  •  Familiarity with analytics platforms like Tableau will be a plus.

  • Familiarity with Azure cloud technologies.
  • Familiarity with Azure Databricks and Databricks SQL.
  • Familiarity with Snowflake Data Cloud will be a plus.

  • Education: University degree in computer science or related field or relevant experience
  • Professional experience of 2 – 9 Yrs
  • Proven track record of experience working in data engineering domain.
  • Strong experience defining ETL processes.
  • Experience with data modeling and data visualization concepts and tools.
  • Knowledge of Software Design under Agile frameworks (Scrum, Kanban, SAFe, …).
  • Proven experience on design and maintaining applications using Scala, (Py)Spark, MAPR distribution, Hadoop ecosystem, Kafka, Impala.
  • Hands-on experience on Microsoft Azure, Databricks.

  • Good English verbal and written communication skills
  • Strong team player with collaborative mindset
  • Excellent problem-solving and analytical skills.
  • Fast, thorough, and autonomous learner who also understands prioritization
  • Innovative thinker
  • Ability to maintain a proactive and positive attitude in a fast paced, changing environment
  • Thrives in a multi-cultural, global organization
  • Open-minded, should be able to adapt to working in a multi-cultural team atmosphere
  • Flexible to adapt to changing project needs driven by the customers
  • Ability to think out of the box, develop tools to enhance productivity
What we can offer you:

  • The opportunity to work for one of the world’s top leading travel tech companies; a company that originated in technology innovation and sees the world with a technology-first perspective
  • Skills development and opportunities to try new ideas
  • A global diverse work environment
Diversity & Inclusion

We are an Equal Opportunity Employer and seek to hire the best candidate regardless of age, beliefs, disability, ethnicity, gender or sexual orientation.

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