
Data Engineer
Posted Sep 18

Posted Sep 18
This is a fully remote position, open to applicants in Canada.
• Design, develop, and uphold ingestion pipelines from source systems into the Bronze layer.
• Clean, standardize, and unify data within the Silver layer.
• Model datasets for the Gold layer utilizing dbt.
• Collaborate with Product, Go-to-Market (GTM), and Artificial Intelligence teams to convert business requirements into data products.
• Assist external clients with data access, Embedded BI dashboards, and data exports.
• Monitor pipeline SLAs, address production incidents, and conduct data quality assessments.
• Maintain catalog and data lineage metadata.
• Address regulatory inquiries, supply audit evidence, and aid in incident investigations.
• Implement new ingestion methods, including API-based SaaS connectors and data streams.
• Design datasets tailored for artificial intelligence applications.
• Optimize costs and performance of the lakehouse platform.
• Design and sustain ETL processes, data models, and schemas.
• Oversee integration processes and work alongside data source owners.
• Provide technical support while continually enhancing data engineering practices.
• Bachelor's degree in Computer Science, Engineering, or a related discipline.
• 3+ years of experience in data engineering, data warehousing, and ETL processes.
• Proficiency in Python and SQL.
• Familiarity with AWS data services, such as S3, Glue, and Athena.
• Practical experience with dbt (data build tool) for data transformation and modeling.
• Understanding of data lakehouse architectures and the medallion architecture (Bronze/Silver/Gold layers).
• Experience with Terraform and Infrastructure as Code (IaC) tools.
• Experience with both relational and NoSQL databases.
• Authorized to work in Canada.
• Strong problem-solving, analytical, and communication abilities.
• Keen attention to detail.
• Capability to work autonomously and collaboratively within a dynamic environment.
• Excellent communication and interpersonal skills, with an emphasis on customer satisfaction.
• Inclusive and equitable workplace.
• Equal opportunity employer.
• Workplace free from discrimination and harassment.
• Commitment to pay equity.
• Remote work.
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