Data Engineer

Role: Data Engineer Location: Canada (Remote) Employment Type: Full-Time Work Authorisation: Canadian Citizen / Permanent Resident / Valid Canadian Work Permit Salary: CAD $85,000 – $115,000 per year Travel: Not Required Who Should Apply: #Data Analysts, SQL Developers, ETL Developers, Database Administrators, Reporting Analysts, Software Developers, Python Developers, Data Science Associates, Application Support Analysts, Database Support Specialists, System Analysts etc and others. #Professionals returning to the workforce #Individuals from diverse backgrounds Job Description We are seeking a motivated and detail-oriented Data Engineer to join our growing team. In this role, you will help build, maintain and optimise scalable data pipelines and databases that support business intelligence, analytics, and data-driven decision-making. Key Responsibilities: Design, develop and maintain scalable data pipelines. Collect, transform and load data from multiple data sources (ETL/ELT). Support the development and optimisation of data warehouses and databases. Clean, validate and ensure the quality and integrity of data. Collaborate with Data Analysts, Data Scientists and Software Engineers. Monitor data pipeline performance and troubleshoot issues. Assist with cloud-based data solutions using AWS, Azure or Google Cloud. Automate data workflows and improve data processing efficiency.. Stay updated with modern data engineering tools and best practices. Apply now to explore more about this opportunity.

The Data Engineer will design, develop, and maintain scalable data pipelines and databases. They will also collaborate with Data Analysts and Data Scientists to ensure data quality and optimize data workflows.

Candidates should have experience in building and maintaining data pipelines, as well as knowledge of cloud-based data solutions. Familiarity with modern data engineering tools and best practices is also important.

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Engineering
• ETL
• Data Pipelines
• Data Warehousing
• Data Quality
• Data Analysis
• Cloud Solutions
• AWS
• Azure
• Google Cloud
• Python
• SQL
• Automation
• Collaboration
• Troubleshooting
• Data Processing

• Technology
• Data & Analytics
• Software

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level