The world’s leading survey software. On a mission to help people turn their curiosity into action.
6 days ago
🏡 Remote – Anywhere in Canada
The world’s leading survey software. On a mission to help people turn their curiosity into action.
• Lead data engineering initiatives and build end-to-end Analytical solutions • Design, architect and build data pipelines to support existing data models • Manage the Data Infrastructure & Platform • Build quality checks in the end-to-end data pipelines • Design & Build new Data models • Write performant/idempotent transformations in Snowflake using dbt • Build data pipeline using Python scripting • Hands-on experience implementing ETL (or ELT) best practices • Translate business requirements to technical specifications • Write complex data engineering Snowflake - SQL jobs • Document systems for internal and external stakeholders • Monitor and debug data pipelines running on Airflow • Participate in code reviews • Mentor data engineers on best practices • Lead and collaborate effectively with cross-functional teams • Identify opportunities for process improvements • Implement innovative solutions to address complex data challenges
• 8+ years experience in data engineering and Data warehousing technologies • 4+ years experience in Snowflake/ETL/ELT or similar technologies like Redshift • Experience building and scaling a Data Platform. • Experience doing Proof of concept for new solutions and technologies • Experience with AWS cloud services: S3, EC2, RDS, Spark, EMR etc • Experience with object-oriented/object function scripting languages: Python (preferred), Java, Scala, etc. • Experience in orchestrating, automating, and deploying production data pipelines using Airflow/Luigi, etc • Extensive Experience with DevOps: Git, Github actions, CI/CD pipelines, Terraform, etc • Experience with tools such as DBT or other similar technologies • Experience with transforming, and developing data structures, metadata, dependency, and data workflows to support an Analytics function • Experience with Designing Scalable Data Models in a Cloud Data warehouse • In-depth knowledge of Data lakes, EDW concepts, and data modeling (Star, Snowflake, and Galaxy schemas) • Experience in implementing data governance practices and ensuring compliance with data privacy regulations (such as GDPR, CCPA). • Commitment to continuous learning and professional development
• Inclusive workplace • Learning and development opportunities • Annual holiday refresh • Week of service
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