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.