About the role

Data Engineer at BRP helping elevate its analytics practice. Designing and implementing robust data solutions with cutting-edge technologies.

Responsibilities

Design, develop, and support robust ETL/ELT and data pipeline solutions
Deliver scalable data architectures supporting analytics and BI use cases
Enable real-time and batch data ingestion from multiple data sources
Ensure high data quality, performance, and reliability
Support analytics teams with optimized, business-ready data models
Promote best practices in data engineering and analytics delivery
Coordinate with multiple development teams to meet delivery objectives
Support requirements definition, estimation, development, and delivery of scalable solutions
Develop and support real-time data ingestion processes from various sources
Build and maintain data models optimized for business intelligence usage
Develop integrations with external APIs (e.g., Google, Facebook, Salesforce, SAP)
Ensure compliance with applicable standards and regulations (GDPR, SOX)

Master’s degree in Business Intelligence or equivalent
Experience working in large enterprises (10,000+ employees)
Strong, hands-on experience with the following technologies: Snowflake, DBT, Microsoft SQL Server, Power BI, Git
Proficiency in multiple programming languages, including: SQL, Python
Strong expertise in Data modeling and architecture
Design and development of robust ETL / ELT data pipelines
Writing, executing, and optimizing complex SQL queries
Experience implementing REST API-based service architectures
Ability to develop clean, maintainable code within a CI/CD environment
Experience using cloud BI technologies (Azure or similar)
Proven ability to translate business requirements into advanced data models supporting analysts and data scientists
Experience in data profiling
Experience working within Agile teams delivering big data and analytics solutions
Knowledge of and compliance with industry standards and regulations such as GDPR and SOX