AWS Data Engineer

About

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