Quix is seeking a Data Platform Engineer to design and maintain the data infrastructure underpinning analytics, AI workflows, and operational reporting. This role emphasizes reliability, governance, and clear data contracts for enterprise environments.
You will design ingestion pipelines, implement transformation layers with dbt/SQL/Python, and manage warehouse architectures across Snowflake, BigQuery, Databricks, and Synapse. Collaboration with ML/analytics teams is essential.
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Data Platform Engineer: Reliable Pipelines & Analytics in Toronto employer: Chair.com.pk
Quix is an exceptional employer for a Machine Learning Systems Engineer, offering a calm and technical work environment that prioritizes reliability and operational clarity. With a strong focus on employee growth, Quix provides opportunities to collaborate with talented teams while working on cutting-edge ML technologies in a supportive culture that values innovation and continuous improvement. Located in a vibrant tech hub, employees benefit from access to industry-leading resources and a network of like-minded professionals, making it an ideal place for those seeking meaningful and rewarding employment.
