AWS Data Engineer building Salesforce pipelines and analytics infrastructure powers Kindsight’s customer-facing products through production data systems.
As a hands-on Data Engineer, you will ingest customer data into AWS and transform it through warehouses supporting dashboards and AI-driven insights. You will work with Salesforce environments, dbt, advanced SQL, Python, and cloud services. The position spans batch loads, change data capture, dimensional modeling, quality validation, and pipeline operations.
Key Responsibilities: Build ELT pipelines from customer Salesforce environments into AWS
Develop dbt transformations and dimensional warehouse models
Optimize SQL across large multi-tenant datasets
Implement monitoring, reconciliation,



and automated data quality checks
Investigate data issues from source through reported results
Requirements: Three-plus years building production data pipelines
Advanced SQL with query tuning and complex joins
Two-plus years of hands-on AWS experience
Two-plus years with dbt or equivalent frameworks
Solid Python, Git workflows, and CI/CD experience
Apply advanced SQL, AWS, Python, and Salesforce data engineering skills to Kindsight’s analytics platform.

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📌 AWS Data Engineer Salesforce Pipelines (Manitoba)
🏢 Kindsight
📍 Manitoba