Role: GCP Data Engineer
Location: Toronto, ON Hybrid
Mode: Fulltime

What is the 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 check
• Experience:
• Experience creating ELT data pipelines from scratch
• Experience configuring and using data ingestion tools such as Fivetran, Qlik, Airbyte etc.
• Experience in data modelling, manipulating large data sets and handling raw SQL, and handling other cleaning techniques.
• Experience working with structured, semi-structured, and unstructured data.
• Experience building data pipelines, and composable cloud-based data platforms in AWS, Azure, or GCP.
• Experience collaborating and working with DevOps and Scrum Teams
• Have prior experience with data developer, data engineering, programming, ETL, ELT, processes for data integration.
• Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
• Expert at problem solving.
• Good understanding of continuous integrations and continuous deployment pipeline (CI/CD)
• Strong scripting skills
• Experience working with source control systems such as Github, Bitbucket.

Technical 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