3 дня назад
Data Engineer (Microsoft Fabric)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Microsoft Fabric): Developing and maintaining ETL processes and data pipelines for business analytics and reporting with an accent on SQL, data quality, and workflow optimization. Focus on designing extraction and transformation workflows, modelling data for dashboards and reports, and troubleshooting integrations in a hybrid Halifax-based role.
Location: Halifax, Canada; hybrid work environment
Company
develops simulation, training, and mission-readiness solutions for critical operations and safety-focused industries.
What you will do
- Develop and maintain ETL processes using Microsoft SSIS and/or Microsoft Fabric Data Pipelines.
- Design and optimize workflows that extract, transform, and load data from multiple sources.
- Ensure data quality, integrity, and availability for business analysts and reporting teams.
- Collaborate with analytics and business teams to deliver modelled data, dashboards, and reports.
- Troubleshoot and support existing data pipelines and integrations.
Requirements
- Bachelor’s degree in Computer Science, preferably with a focus on Data Science and Analytics, or equivalent experience.
- 2–3 years of data engineering experience.
- Strong SQL skills, including writing and optimizing complex queries, plus an understanding of ETL concepts and data pipeline design.
- Completed Data Science coursework or certification and the ability to collaborate with analytics and business teams.
- Legal authorization to work in Canada as a Canadian Citizen, Permanent Resident, or valid Work Permit holder.
- Eligibility to obtain and maintain Controlled Goods Clearance and Level II NATO Secret security clearance.
Nice to have
- Hands-on experience with Microsoft SSIS, Microsoft Fabric, or similar ETL tools.
- Familiarity with IBM Cognos, Power BI, or other BI and reporting tools.
- Proficiency in Python and familiarity with Pandas, NumPy, or Scikit-learn.
- Knowledge of data modelling and data warehouse concepts.
- Interest in data analytics and visualization.
Culture & Benefits
- Hybrid work environment with flexible schedules.
- Multidisciplinary projects and cross-functional collaboration.
- Initiatives and innovation are recognized and valued.
- Attractive employee benefits.
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