The ideal candidate has both strong software engineering experience in JVM based technologies and bid data / distributed processing experience. Candidate must be familiar with current distributed computing data technologies on commodity servers and have experience with 24×7 production needs.
Define and execute a data science approach addressing client use case or business requirement. Write and deliver reports and presentations including descriptions of efforts, results, recommendations, industry practices, and more.
Work across Information Security and Risk Management and with all information technology functions to formulate a cyber security information architecture strategy and develop, publish and drive the adoption of cyber security data architecture patterns and templates.
The Developer will be responsible for development of Analytics solutions on the Enterprise Data Lake (EDL), which integrates with various Source Systems, Data Warehouses and Reporting platforms, in an agile and iterative fashion.
The chosen candidate will be responsible for designing end-to-end data pipelines, from collecting and processing raw data to applying advanced analytics to a diverse range of datasets. He/she will cover the entire lifecycle of the pipeline including ongoing data monitoring and controlling data integrity.
The Data Integrity and Publication team is responsible for guaranteeing that the data in the Amadeus Hotel Platform is synchronized to the rest of the ecosystem with a very high level of reliability and transaction volume.
Determine best technological path for the organization going forward and commissions the work to attain the goals; leverage industry standard tools and methodologies to triage and debug issues to determine the root cause of the problem.
In this role, you will help design, build and support the underlying data architecture for all of ESPNs sports, content and consumer data that serve our business and over 100 million fans across the globe on digital and broadcast with millisecond latency.