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Data Engineer
2 months ago
Senior Data Engineer (Warehouse/Platforms)
Location: Toronto, ON - Hybrid (1 day a week in office- No specific days)
Contract Length: 3 month with Possibility of extension.
We at Raise are hiring a Senior Data Engineer (Warehouse/Platforms) for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.
We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.
Responsibilities:
- 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.
- 5+ years of experience with Cloud: GCP.
- 5+ years of experience working as a data developer, data engineering, programming, ETL, ELT, processes for data integration.
- 5+ years 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.