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Senior Azure Data Engineer
| Company | Bull IT Services |
| Address | Toronto, Ontario, Canada |
| Employment type | FULL_TIME |
| Salary | |
| Expires | 2023-08-18 |
| Posted at | 9 months ago |
Skills Required:
• Must have experience working as Data Engineer with focus on big data processing and/or relational databases with good understanding of SQL
• Experienced with working on Structured and Semi-Structured datasets
• Experience working with Microsoft Azure Data Platform, specifically Azure SQL Database, Azure Data Factory, ADLS storage account, Azure DataBricks and DevOps
• Experienced in creating data pipelines & developing complex and optimized queries
• Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload Automation
• Experience with implementing CI / CD pipeline on GitHub, Jenkins / JGP
• Experience writing complex SQL and NoSQL jobs to analyze data in traditional DBMS (MS-SQL, Oracle) environments
• Experience with integrating to back-end/legacy environments
• Experience integrating business and technology teams
• Experienced in any of the following programming/scripting languages (SQL, Python, Shell, Scala)
• Excellent organizational and time management skills, strong business presence with ability to multi-task and effectively deal with competing priorities
Good to have skills:
• Previous work experience in the financial sector (insurance or benefits industry)
• Knowledgeable or at least have the basic concept of Data Visualization in any of the following tools: Tableau, PowerBI, QlikView/QlikSense
Roles & Responsibilities:
• Designing and developing data pipelines using Cloud Technologies based on business requirements and technical design
• Collaborating with Stakeholders, Business Analysts and Data Architects to assist and translate business requirements to technical solutions
• Develop big data and analytic solutions leveraging new or existing technology to advance client's all lines of business
• Exploratory data analysis by querying and processing data stores and databases and generate reports
• Design, upgrade and implement new data workflows
• Write and maintain technical documentation
• Executes updates, patches, and other activities required to maintain and enhance the operations of on-premise or cloud-based environments
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