Hybrid Data Engineer - ETL, SQL & BI

CAE

Halifax

Hybrid

CAD 85,000 - 110,000

Full time

7 days ago
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Benefits offered by this job

Hybrid work environment
Flexible schedules
Attractive employee benefits

Job summary

CAE is seeking a Data Engineer in Halifax to develop and maintain ETL processes, design data workflows, and ensure data quality for analysts and reporting teams. You will collaborate with cross-functional groups to deliver modelled data, dashboards, and reports in a dynamic, safety-focused environment.

The ideal candidate has 2-3 years of data engineering experience, strong SQL skills, and familiarity with ETL concepts and BI tools.

Qualifications

  • Bachelor’s degree in Computer Science or equivalent experience.
  • Strong experience with SQL, including writing and optimizing complex queries.
  • Understanding of ETL concepts and data pipeline design.
  • Ability to work collaboratively with analytics and business teams.
  • Completed Data Science coursework or certification.

Responsibilities

  • Develop and maintain ETL processes using Microsoft SSIS and/or Microsoft Fabric Data Pipelines.
  • Design and optimize workflows to extract, transform, and load data from various sources.
  • Ensure data quality, integrity, and availability for business analysts and reporting teams.
  • Collaborate with analysts to deliver modelled data, dashboards, and reports.
  • Troubleshoot and support existing data pipelines and integrations.

Skills

SQL
Data engineering
ETL concepts
Team collaboration
Data Science coursework

Education

Bachelor’s degree in Computer Science

Tools

Microsoft SSIS
Microsoft Fabric
IBM Cognos
Power BI
Python

Job description

CAE is seeking a Data Engineer in Halifax to develop and maintain ETL processes, design data workflows, and ensure data quality for analysts and reporting teams. You will collaborate with cross-functional groups to deliver modelled data, dashboards, and reports in a dynamic, safety-focused environment.

The ideal candidate has 2-3 years of data engineering experience, strong SQL skills, and familiarity with ETL concepts and BI tools.

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