Role Name: AWS Data Engineer
Location: Toronto, ON (onsite)
Duration: 6 - 12+ months
Job Description:
AWS Data Engineer to design, build, and operate cloud-based data pipelines that ingest, standardize, and deliver manufacturing data from shop-floor systems (presses, sensors, CBM, MES, and manual inputs) into a Unified Namespace (UNS) and downstream Digital Twin and analytics platforms.
Core Responsibilities
· Design and implement data ingestion pipelines from manufacturing systems (PLC/press controllers, CBM systems, MES).
· Publish and consume data through a Unified Namespace (MQTT-based) architecture.
· Build scalable pipelines for real-time, near-real-time, and historical data on AWS.
· Model and transform raw machine data into contextualized, asset-based datasets.
· Integrate data into Digital Twin, analytics, and KPI calculation layers.
· Ensure data quality, observability, and reliability across pipelines.
Skills
· Python (primary)
· SQL (analytics and transformations)
· JSON / Avro / Parquet formats
· Stream and batch processing
· Basic infrastructure-as-code (Terraform or CloudFormation – nice to have)
· Strong understanding of MQTT publish/subscribe patterns
· Topic namespace design aligned with asset hierarchies
· Experience implementing or consuming a Unified Namespace (UNS)
Regards
Krishna
Pay: $65.00-$75.00 per hour
Work Location: In person
