Data Engineer

Data Engineer- GCP Location Address : Toronto Downtown- Hybrid model (1 day a week in office- No specific days) Contract Duration: 3 Months, possible extension Project : International banking Salesforce effectiveness - Support to migrate IB Commercial Banking data to Google Cloud Platform (GCP) and to CB Commercial Banking's Salesforce Financial Services Cloud (FSC) instance to create a global commercial Salesforce org. A total of 10 people working on this project. Typical Day in Role: Design, develop and maintain robust data pipelines for ingestion, transformation, and distribution of large datasets. Utilize services and tools to automate data workflows and streamline the data engineering process. Collaborate with stakeholders and product managers to analyze, and build data mapping, models and reporting needs. Monitor application and pipeline performance. Conduct data quality checks Candidate Requirements/Must Have Skills: 10 years of experience with Data Warehouse/ Data Platforms 5 years of experience creating ELT data pipelines from scratch, working with structured, semi- structured, and unstructured data and SQL. 2 years of experience configuring and using data ingestion tools such as Fivetran, Qlik, Airbyte or others. 3 years of experience with Cloud: GCP 5 years of experience working as a data developer, data engineer, programmer, ETL, ELT, with processes for data integration. 5 years of continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform Nice-To-Have Skills: Experience in data modelling, manipulating large data sets and handling raw SQL, and handling other cleaning techniques. Python – nice to have DBT – nice to have Education & Certificates: Bachelor's degree in a technical field such as computer science, computer engineering or related field required or sufficient experience.

Location: Toronto, CA

Posted Date: 5/1/2025