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Data engineer

Marple
BRP
Data engineer
Posted: 6 September
Offer description

Overview

Join to apply for the Data Engineer role at BRP.

BRP is looking for a Data Engineer to join our team and bring the analytics practice to the next level. We are looking for a motivated person who thrives in a dynamic and challenging environment, who loves working with tools on the edge, who has no problem switching between multiple programming languages, and who is able to find out-of-the-box solutions to solve complex problems. In this role, you will be at the heart of the definition and implementation of world-class analytics solutions, and you will contribute to set data as a strategic advantage for BRP.


Responsibilities

* Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions
* Coordinate with multiple development teams to achieve delivery objectives
* Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions
* Development and support of real-time data ingestion processes from various data sources
* Development and support of data models optimized for business intelligence usage
* Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others
* Adhering to industry standards and laws such as GDPR and SOX
* Be a leader in best-practices definition and creative thinking


Qualifications

* Master Degree in Business Intelligence or equivalent
* Solid and demonstrated experience on following technologies:
o Snowflake
o DBT
o Microsoft SQL Server
o Power BI
o Git
* Fluent in various programming languages such as:
o SQL
o Python
* Understands and puts into practice data modeling, design and development of solid ETL/ELT data pipelines
* Fluent in writing, executing and optimizing complex SQL queries
* Experience implementing API Service architectures (REST)
* Develop clean and maintainable code in a CI-CD Environment
* Experience in using cloud BI technologies such as Azure or similar
* Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists requirements
* Experience in data profiling
* Experience in working within an agile team to build big data / analytics solutions
* Strong interpersonal relations, motivated and loves to work on multiple challenging projects
* Strong communication skills, both speaking or writing
* Fluent in French and English
* Open-minded and able to adapt to new ways of working (data vault, event-driven architecture, unstructured data, self-service analytics, etc.)
* Well organized and able to self-prioritize, sometimes with conflictual deadlines
* Continually seeks improvements and craves to put hands on new technologies


Additional information

* Resides in Campinas, Brazil. The position is based in Campinas and offers hybrid work mode.
* Resumes in English will be preferred.

ACKNOWLEDGING THE POWER OF DIVERSITY
BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!

For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

WELCOME TO BRP
We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 20,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination; It’s about the journey.

This position is based in Campinas, Brazil. We offer hybrid work mode. Resumes in English are preferred.

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