3 дня назад
Data Engineering Intern
45 000 - 60 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Intern (Databricks/Azure): Supporting the design, development, and operation of enterprise data solutions for reporting, analytics, and AI-driven initiatives with an accent on data ingestion, transformation, quality validation, and Lakehouse architecture. Focus on building scalable data pipelines, troubleshooting production issues, and working with structured and unstructured datasets across bronze, silver, and gold layers.
Location: Canada; hybrid work model with three days per week of in-person presence, including office or market-facing engagements. Applicants must be legally eligible to work in Canada.
Salary: CAD 45,000–60,000 per year.
Company
Zurich Canada is part of , a global multi-line insurer serving commercial and personal customers through offices across Canada and worldwide.
What you will do
- Assist with developing and maintaining data pipelines using Databricks and Microsoft Azure.
- Support data ingestion from enterprise applications, APIs, files, and cloud-based sources.
- Develop Python and SQL scripts for data transformation, validation, and automation.
- Build, maintain, and optimize datasets across bronze, silver, and gold Lakehouse layers.
- Perform data quality validation, reconciliation, monitoring, and production troubleshooting.
- Collaborate with data engineers, analytics teams, data scientists, AI engineers, and business stakeholders while contributing to documentation and runbooks.
Requirements
- Currently pursuing a bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field.
- Knowledge of Python fundamentals, basic SQL, relational databases, data structures, and ETL/ELT concepts.
- Exposure to cloud technologies such as Microsoft Azure, AWS, or Google Cloud.
- Familiarity with data analytics, reporting, or business intelligence concepts.
- Strong problem-solving, analytical, organizational, communication, and collaboration skills.
- Legal eligibility to work in Canada and availability for three days per week of in-person work are required.
Nice to have
- Exposure to Databricks, Apache Spark, PySpark, Git, GitHub, or Azure DevOps.
- Experience with Pandas, PySpark, data warehousing, dimensional modeling, or Lakehouse concepts.
- Knowledge of Power BI, Tableau, Excel, or PowerPoint.
- Interest in cloud data platforms, artificial intelligence, and machine learning.
Culture & Benefits
- Collaborative, inclusive, and diversity-focused workplace.
- Comprehensive health and benefits plan with multiple coverage options.
- Minimum of four weeks of vacation and four personal days per year.
- Training and professional development opportunities.
- Support for accessibility, belonging, and community involvement.
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