Data Engineer / Big Data
Alten
- Antibes, Alpes-Maritimes
- CDI
- Temps-plein
- Participate to specifications reviews, propose technical solutions and perform feasibility studies.
- Acquire datasets that align with business needs.
- Develop algorithms to transform data into useful, actionable information.
- Develop, construct, test, and maintain optimal data pipeline architectures.
- Create new data validation methods and data analysis tools.
- Ensure compliance with data governance and security policies.
- Identify ways to improve data reliability, efficiency, and quality.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Prepare data for predictive and prescriptive modeling.
- Work with data and analytics experts to strive for greater functionality in our data systems; which requires a closed collaboration with the other trains.
- Develop software according to Amadeus Standards, including documentation
- Perform code reviews in line with Amadeus quality standards.
- Conduct unit, package and performance tests of the software and ensure a level of quality in line with the Amadeus guidelines.
- Participate in the validation / acceptance phase of the product cycle ensuring the fine-tuning necessary to finalize the product.
- Produce software documentation necessary for the application and issue it to the requesting departments.
- Support the end user in the Production phase by debugging existing software solutions in response to Problem Tracking Records (PTR) and Change Requests (CR) issued from Product Management or Product Definition.
- Previous experience as a data engineer or in a similar role
- Experience building or optimizing “big data” data pipelines, architectures and data sets.
- Hands-on experience with Scala (>2 years or a strong experience with Java/C++ with a good knowledge level of Scala)
- Experience with big data tool: Spark, Kafka, MapR , Hadoop
- Understanding extract, transform, and load ETL systems
- Knowledge of cloud services: MS Azure
- Agile Mindset: must be comfortable working with Agile values and artifacts
- Fast learning: must be able to adapt quickly to the existing environment and new changes
- Analytical thinking and problem-solving mindset: must be able to quickly identify, implement work-around to solve incidents and work on long term data solutions
- Team spirit, knowledge sharing, Empathy: must be able to work in a team and to communicate clearly with the other team members and users
- Pro-activity, Professionalism, Openness and Innovative mindset
- English: professional level
- Knowledge of Scrum framework and Agile methodologies.
- Knowledge of airline business is a plus