Développeur en Analytique/Analytics Engineer (Tableau)

at  Plusgrade

ENGLISH VERSION BELOW

Les voyages vont bien au-delà de leur destination ; ils sont tissés de chaque souvenir que l’on crée en chemin. Notre engagement consiste à redéfinir l’avenir du voyage en collaborant avec plus de 200 compagnies aériennes, établissements hôteliers, sociétés de croisières, réseaux ferroviaires pour voyageurs et services financiers, dans le but de créer de nouvelles sources de revenus significatives grâce à des expériences client exceptionnelles. Fondés sur nos valeurs fondamentales d’ambition, d’innovation et de collaboration, nous sommes constamment poussés à repousser les limites, à surpasser les attentes et à exploiter le meilleur de chacun. Nous favorisons une culture qui repose sur la conviction que notre force réside dans notre unité, travaillant ensemble pour bâtir un avenir extraordinaire dans l’univers du voyage. Joignez-vous à nous pour transformer les voyages quotidiens en expériences véritablement extraordinaires.

WHAT YOU’LL LOVE ABOUT US:

\uD83C\uDFE6 RRSP/401(k) Matching
\uD83C\uDFE5 Comprehensive Health Plans
\uD83D\uDCC5 Flexible Paid Time Off
✈️ Travel Experience Credit
\uD83E\uDDD8 Annual Wellness Credit
\uD83E\uDD57 Team Events and Monthly Lunches
\uD83D\uDCBB Home Office/Commuter Credit
\uD83C\uDF05 Work From Anywhere Program
\uD83C\uDF7C Parental Leave Top Up
\uD83C\uDF0D Adventure Pass

We are looking for an Analytics Engineer to join our Data Engineering team for a permanent position.
We’re an industry-leading web-based organization that is continuously reshaping how consumers interact with their loyalty programs. We work with the world’s largest airline, hotel, financial, and retail rewards programs, to tackle complex challenges and come up with innovative e-commerce solutions; with the Data Engineering team playing a critical role in. If you’d like to be a part of it, we’d love to hear from you.

Reporting to the Team Lead, Data Engineering, you will:

• Work in a scrum-based team that is passionate about enabling a data culture throughout the organization.
• Design and develop scalable and robust data models and products for data consumption by downstream applications and users.
• Improve upon existing data processing mechanisms through automated testing and monitoring, to continually enhance data integrity and accuracy.
• Actively participate in solution design and modeling to ensure analytics products are developed according to best practices, standards, and principles.
• Foster collaboration and innovation in order to deliver high quality autonomous data and analytics products.
• Support production systems to deliver a high degree of data availability, consistency, and accuracy.