AWS Data Engineer with manufacturing domain exp.

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