Senior Data Engineering Specialist

 

Description:

About the job

Senior Data Engineering Specialist (Azure)

 

Location: Canada- This role is open across Canada where there is proximity to a local CGI Office.

Role type: Hybrid

 

Are you a Senior Data Architect or a Senior Data Engineer interested in working in a talented and collaborative team developing Cloud, Data and AI solutions for leading global clients? Do you regularly find yourself in conversations on disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that mess out? If you have that hands-on technical expertise of enabling data engineering, designing data architectures, a genuine flair for solving data problems, and the mindset to collaborate with diverse clients and team members alike, we're looking for you.

 

*This is a hands-on and senior role that requires hands-on experience with Azure*

 

As a Senior Data Engineer (Azure) your main responsibilities will include:

- Being the Subject Matter Expert on Azure Data Engineering

- Working HANDS-ON on client engagements and managing E2E client engagements as the Senior Data Engineer or Tech Lead (Azure)

- Creating data architectures, data pipelines, and data flows for requirement at hand using Azure Data Factory, Azure Synapse, Azure SQL, Azure DevOps

- Helping create client proposals for ML/AI and Data projects

- Mentoring junior Data Engineers, Data Scientists and Data professionals in the team

- Thought leadership amongst clients and the industry

 

Other responsibilities:

- Strategically collaborating with the clients to explore and deliver key foundational data-driven solutions

- Delivering on areas of data preparation and transformations and ETL or ELT development both on-prem or on-cloud

- Building Data Engineering pipelines on Azure

- Working in a business environment with large-scale, complex and big data datasets and dispersed data sources

- Using Advanced SQL and Python skills as necessary

- Gathering client requirements, coding and implementing data solutions while leading a small team

- Implementing proof of concepts to show value and then package and scale to full data engineering scale on both on-prem and cloud environments

 

Essential Qualifications

- 6+ years relevant hands-on experience in Data Architecture, Data Engineering or Data Science with 9+ years of overall experience

- Experience consulting clients or stakeholders on Data and AI engagements

- Hands-on experience with Azure ETL

- Data analysis, storage, data pipelines, and orchestration

- Expert Python and SQL skills

- Experience working on Big Data

- Excellent communication and team working skills

- English language is mandatory; French language is nice to have

 

Nice to Have Qualifications

- Consulting background is an asset

- Experience with building client proposals and sales enablement is an asset

- Experience with ML projects

- Experience with data pipeline and workflow management tools eg. Airflow, Jenkins etc.

- Experience in Power BI