Data Engineering Specialist

Position Description:

This role is hybrid and requires you to be at our client office at a minimum 5 days per month - subject to change at any time.

Your future duties and responsibilities:

. Support senior engineers in designing and developing data pipelines on the Azure platform
. Build and maintain data ingestion workflows using ADF/Synapse and Databricks under guidance
. Develop PySpark/Spark SQL scripts for data transformation validation and cleansing
. Assist in preparing technical artefacts such as data flow diagrams interface specifications and workflow mappings
. Work with data engineers to implement source landing curated consumption layer pipelines
. Perform unit testing data validation and defect fixes to ensure pipeline quality
. Implement basic error handling logging and monitoring as part of pipeline development
. Support SIT/UAT activities replicate test scenarios verify data flows investigate defects
. Collaborate with platform teams for access setup environment readiness and configuration requirements
. Participate in code reviews and follow established engineering standards naming conventions and best practices
. Document processes job logic and operational runbooks for repeatability and knowledge transfer
. Continuously learn new Azure data tools Databricks capabilities and modern data engineering patterns

Required qualifications to be successful in this role:

Expected Skills:
.3-4 years of experience as Data Engineer .
. Basic experience in building or supporting data pipelines on Azure or similar cloud platforms
. Foundational understanding of Azure data services including:
Azure Data Lake (folders access patterns file handling)
Azure Databricks / Spark (notebooks basic PySpark/Spark SQL)
Azure Data Factory / Synapse Pipelines (copy activities triggers simple workflows) . Understanding of ETL/ELT concepts file-based ingestion and working with APIs or database sources
. Ability to work with multiple data formats (CSV JSON Parquet) and perform basic transformations
. Working knowledge of SQL for querying filtering joining and validating data
. Exposure to PySpark or Python programming for data manipulation
. Good understanding of non-functional fundamentals: data quality basic performance awareness error handling logging
. Familiarity with Azure security basics such as Key Vault service principals RBAC (nice to have)
. Willingness to learn cloud engineering CI/CD performance tuning and advanced data pipeline concepts
. Strong communication skills proactive attitude and ability to collaborate with senior developers data engineers and QA teams
. Training/Certifications (nice to have): Azure Fundamentals (AZ-900) DP-900 Data Fundamentals Databricks Lakehouse Fundamentals.

**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 $80000$130000. This role is an existing vacancy.**

Disclaimer : 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.

#LI-AV1

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:

• Adobe Spark
• Azure Data Factory
• Azure Data Lake
• Big Data
• Big Data & Analytics Operation
• DevOps
• ETL
• Financial Services
• NoSQL
• Real-Time Appliance
• SQLite

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer being able to perform your best during the recruitment process is important to us. If you require an accommodation please inform your recruiter.

To learn more about accessibility at CGI contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our teamone of the largest IT and business consulting services firms in the world.