Position Description:
CGI is looking for a skilled and collaborative Azure Data Engineering Specialist to help design, build, and scale data solutions across cloud and hybrid environments. If you enjoy working in complex data ecosystems and transforming raw data into meaningful insights, we’d love to hear from you.
Your future duties and responsibilities:
What You’ll Do
As a Data Engineering Specialist, you’ll play a key role in delivering robust, scalable data pipelines and collaborating with clients and internal teams to unlock the full potential of their data.
Data Pipeline Development
• Design and implement ETL/ELT workflows using Azure Data Factory, Databricks, ADLS, Synapse, and Azure SQL.
• Build batch and streaming data pipelines with Spark/PySpark on Azure Databricks.
• Work with large-scale, complex datasets from diverse sources in enterprise environments.
• Write advanced SQL and Python code to support data transformations and analytics.
Prototyping & Deployment
• Translate client needs into scalable data engineering solutions.
• Develop proof-of-concepts and evolve them into full production pipelines across cloud and on-prem platforms.
• Collaborate with clients to explore data sources and build insightful Power BI dashboards.
Collaboration & Support
• Share technical expertise with fellow data professionals and analytics teams.
• Contribute to cross-functional initiatives and support data-driven decision-making across the organization.
Required qualifications to be successful in this role:
• 5+ years of experience in data engineering, including 3+ years working with Azure.
• Hands-on experience with Azure Databricks, Azure Data Factory, Spark/PySpark, and Unity Catalog.
• Proven ability to build streaming pipelines on Azure.
• Strong proficiency in Python and SQL.
• Solid understanding of data analysis, storage, orchestration, and big data environments.
Nice to Have
• Experience with Informatica or other ETL tools.
• Exposure to machine learning projects or AI data workflows.
• Familiarity with workflow tools like Airflow or Jenkins.
• Experience with Spark/Hive/HDFS.
• Strong Power BI skills, including DAX, Power Apps, Power Automate, and Logic Apps.
Why Join CGI?
At CGI, we believe in creating an environment where everyone feels valued, respected, and empowered to grow. We offer continuous learning opportunities, and a culture that celebrates diverse perspectives.
CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,-$,. This role is a future opening.
#LI-AB19
Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.
Skills:
Azure Data Engineering Specialist • Toronto, Canada
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