Data Engineer
- Kirkland, QC, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Data Engineer
This role is responsible for designing, building, and optimizing enterprise data pipelines that collect, transform, store, and prepare data for reporting, analytics, machine learning, and AI initiatives. The Data Engineer ensures data is reliable, secure, accessible, and ready for business intelligence and advanced analytics while working closely with analysts, data scientists, architects, and business stakeholders.
Key Responsibilities
- Design and maintain ETL/ELT data pipelines.
- Extract, transform, and integrate data from multiple sources (Oracle, SQL Server, SAP, APIs, flat files, etc.).
- Build analytics-ready and AI-ready datasets.
- Support machine learning and AI projects through data preparation, feature engineering, and validation.
- Implement data quality, monitoring, auditing, and reconciliation processes.
- Optimize SQL queries, Spark notebooks, Lakehouse/Warehouse tables, and pipeline performance.
- Troubleshoot data issues and process failures.
- Collaborate with business, analytics, and AI/ML teams to deliver scalable data solutions.
- Evaluate AI-generated recommendations and analytics outputs before deployment.
Required Technical Skills
- Strong experience with:
- Python
- PySpark
- SQL
- Stored Procedures
- Data modeling and data analysis.
- ETL/ELT development.
- Data warehousing concepts.
- Experience with:
- SQL Server
- Oracle
- Azure Fabric Lakehouse/Warehouse
- Understanding of Medallion Architecture.
- Experience preparing datasets for machine learning and predictive analytics.
Preferred Skills
- Microsoft Azure
- Microsoft Fabric
- Data Engineering certifications
- Machine Learning / Predictive Analytics experience
- Data Governance and Data Quality frameworks
- AI-assisted development tools (Microsoft Fabric Copilot)
Why join us
Our Approach To Employee Wellness Is Holistic, Which Is Why Alongside Competitive Salaries, And Excellent Health And Dental Benefits, Corporate Employees Have Access To The Following:
- Wellness amenities such as an onsite gym, fitness studio, and employee lounge
- Group RRSP plan to take care of the future you
- Onsite medical clinic and telemedicine
- Daily shuttle bus from two downtown locations
- Subsidized employee café with delicious meals and snacks
Future Electronics is taking a hybrid approach to work. We value collaboration and working together, which our offices facilitate, combined with working remotely.
Future Electronics is an equal opportunity employer.
More about this job
Responsibilities
Design, build, and optimize enterprise data pipelines to support reporting, analytics, and AI initiatives. Ensure data reliability and security while collaborating with cross-functional teams to deliver scalable data solutions.
Requirements
Requires strong proficiency in Python, PySpark, and SQL, with experience in ETL/ELT development and data warehousing. Experience with Azure Fabric and preparing datasets for machine learning is highly preferred.
Skills
- Python
- PySpark
- SQL
- Stored Procedures
- Data Modeling
- ETL/ELT Development
- Data Warehousing
- SQL Server
- Oracle
- Azure Fabric
- Lakehouse
- Medallion Architecture
- Machine Learning
- Predictive Analytics
- Data Governance
- Data Quality
Benefits
- Health Insurance
- Dental Benefits
- Onsite Gym
- Fitness Studio
- Employee Lounge
- Group RRSP Plan
- Onsite Medical Clinic
- Telemedicine
- Daily Shuttle Bus
- Subsidized Employee Café
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Manufacturing
Keywords
- Python
- PySpark
- SQL
- Stored Procedures
- Data Modeling
- ETL
- ELT
- Data Warehousing
- SQL Server
- Oracle
- Azure Fabric
- Lakehouse
- Medallion Architecture
- Machine Learning
- Predictive Analytics
- Data Governance
- Data Quality
- Microsoft Fabric Copilot
- AI
- Feature Engineering
- Data Pipelines
- Business Intelligence
- Advanced Analytics