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.
Cloud:
- Familiarity with Azure cloud technologies.
- Familiarity with Azure Databricks and Databricks SQL.
- Familiarity with Snowflake Data Cloud will be a plus.
Qualifications
- 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.
Other:
- 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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