Azure Databricks Data Engineer, Canadian financial institution, Montreal (hybrid)
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Summary
24-month data engineering engagement in the data office of a Canadian financial institution in Montreal: design, build and maintain batch and streaming pipelines on Azure Databricks using Python, Spark, Data Factory, Data Lake and Azure DevOps. Hybrid role, 3 days/week onsite; bilingual French/English required.
24-month assignment in the data office of a Canadian financial institution: batch and streaming pipelines on Azure Databricks. Python, Spark, Data Factory. Montreal, hybrid 3 days, bilingual.
The data office of a Canadian financial institution is evolving its enterprise data platform on Azure Databricks and needs a data engineer to design and maintain its pipelines.
What you will do
- Design, build and maintain batch and streaming data pipelines
- Work on Azure Databricks with Data Factory, Data Lake and Azure DevOps
- Model data and feed the data warehouse
What we are looking for
- 5+ years in data engineering, intermediate level
- Python, Spark and Databricks in production
- Bilingual French and English
- Montreal, hybrid, 3 days a week at the client headquarters
- Full time, 24-month assignment
- Freelance or permanent Abbeal employee