Data Engineer
4 weeks ago
Toronto
Role name: Engineer
Role Description:
- 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.
- Developing big data and analytic solutions leveraging new or existing technology to advance Manulife's all lines of business.
- Performing exploratory data analysis by querying and processing data stores and databases and generating reports.
- Designing, upgrading, and implementing new data workflows.
- Writing and maintaining technical documentation.
- Executing updates, patches, and other activities required to maintain and enhance the operations of on-premise or cloud-based environments.
Competencies: Data Structures
Experience (Years): 4-6
Essential Skills:
- Experience working as a Data Engineer with a focus on big data processing and/or relational databases with a good understanding of SQL.
- Experience 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.
- Experience in creating data pipelines & developing complex and optimized queries.
- Experience 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.
- Experience in any of the following programming/scripting languages: SQL, Python, Shell, Scala.
- Excellent organizational and time management skills, strong business presence with the ability to multi-task and effectively deal with competing priorities.
Desirable 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.
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