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data engineer Toronto

CGI

Full Time Toronto 98264 - 80881 CAD ANNUAL Today

Job description

We are Canada's largest independent information technology services firm, and after 45 years, we're still growing! Join us as a 'Data Engineer' in our Banking Services Division in Toronto
Insights you can act on

While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees members because they are CGI shareholders and owners and owners who enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today — one of the world’s largest independent providers of IT and business consulting services.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

Ready to become part of our success story? Join CGI — where your ideas and actions make a difference.
Your future duties and responsibilities
? Build end to end data ingestion pipelines to ingest data from external and internal sources i.e., developing data processing frameworks.
? Develop custom scripts and workflows using Python, SQL, and C# to automate data processing tasks.
? Strong grasp of data modeling concepts to design and develop efficient data storage and retrieval systems.
? Minimum 4+ years of experience as a Data Engineering with a Master’s degree; or 5+ years with a Bachelor’s degree along with the relevant working experience.
? 2-3+ years Financial Industry experience.
? Experience working as a Data Engineer in a production environment.
? Experience working with a modern scalable Data Lake or Data warehouses in Snowflake.
? 5+ years of proficient experience working with programming languages such as Python, PySpark, SQL, Scala, Shell scripting etc.
? Experience understanding of the Spark Architecture is preferred.
? Preferred one or more Database experience (MySQL, Microsoft SQL Server, MongoDB, PostgreSQL)
? Experience working with containers and orchestration tools like (Docker, Kubernetes, Apache Airflow, CI/CD, etc.)
? Experience in promoting data ingestion pipelines by using CI/CD e.g., Jenkins.
? Excellent written and verbal communication, presentation skills.
? Experience working with one or more cloud platforms (Azure, AWS or GCP )
? preferred: Azure
? Experience working with distributed notebook environments like Databricks, Azure Synapse, etc.
? Experience working with Git, Azure DevOps.
? Understanding of Machine learning algorithms i.e., Anomaly detection
? Ability to work in Agile methodology.
? Transforming and manipulating raw complex data into structured and consumable format data
? Machine Learning and Quantitative Modeling
? Build anomaly detection model leveraging packages like Prophet or similar
? Build anomaly detection models for geospatial and other practices based on domain requirements.
Required qualifications to be successful in this role

Self-starter and delivery oriented experienced Machine Learning engineer
Experience working with alternative data
Experience with Cloud, Distributed computing and Data Science
Excellent communication and presentation skills. Proven ability to connect with internal and external stakeholders and excel in a fast-paced environment.

Impact