Location: at Union Station (61 Front St W, Toronto) with minimum 2 days on site.

Hybrid role

Job Description

Mandatory Requirements

5+ years of experience in:

- Hands-on experience working with:
- SSIS and/or Microsoft Azure Data Factory (ADF) and other related Azure Services
- Microsoft Azure Synapse and/or SQL Data Warehouse and SQL Server 2016 or later.

Other Certifications / Skills

- A university degree in Computer Science, or the equivalent, combined with directly related experience in a business or computer related discipline.
- Optimize, analyze and improve data integration packages
- Expert understanding and enterprise scale experience working with Data Warehouse (DW) and Business Intelligence (BI) implementations
- Robust understanding of data modelling techniques and data warehouse/data lake design
- Experience with data quality, data cleansing and data stewardship processes and techniques
- Ability to solve complex data problems by analysis, develop appropriate solutions and clearly communicate those solutions to the team.
- Ability to work efficiently and provide accurate time estimates for work to be undertaken.
- Well-developed interpersonal, oral and written communication skills, strong analytical and problem-solving skills.




- Developing Microsoft Power BI reports or other data visualization tools is an asset

Assignment Duties

- Work with the Enterprise Data project team in designing, developing and maintaining the enterprise data warehouse, data marts, data lakes
- Responsible for designing, developing, supporting, and documenting SSIS and/or Azure Data Factory (ADF) packages to integrate data from multiple systems
- Responsible for designing, developing and documenting complex T-SQL, stored procedures, views, triggers, indexes, etc.
- Responsible for designing and implementing data quality processes
- Assist in the data modelling of the data warehouse/data mart/data lake solution(s)
- Advanced data analysis to provide meaningful data driven insights
- Work closely with the business analyst(s), and other team members, to understand requirements
- Convert business requirements to technical specifications.
- Perform knowledge transfer meetings and sessions.
- Research, propose, document, and share technical solutions with the team.
- Recommend and implement improvements to data quality, automation, and workflows
- Provide accurate time estimates for work to be undertaken

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📌 Senior Data Engineer (Toronto)
🏢 LanceSoft
📍 Toronto