
AWS Cloud Data Specialist
3 days ago
We are seeking a skilled data professional to design and build modern data pipelines that integrate IoT ecosystems, enterprise applications, and emerging AI/ML capabilities.
Job Overview:
The ideal candidate will have hands-on experience with AWS IoT Core, MQTT protocol, and Aurora PostgreSQL schema design.
- Develop scalable data pipelines to handle data ingestion from IoT Core MQTT topics, ERP/MES data dumps, CRM service exports, and S3-based data uploads.
- Implement and maintain AWS Glue Jobs, AppFlow, and Lambda functions to automate extraction, transformation, and loading (ETL/ELT).
- Create metadata-enriched, queryable datasets for analytics, dashboards, or feeding LLMs and vector databases.
- Design and optimize Aurora PostgreSQL schemas to support structured IoT telemetry, event logs, and traceability data.
- Integrate with SAP, Oracle, Salesforce, ServiceNow using AppFlow, REST APIs, or custom connectors.
- Enable real-time monitoring and alerting of IoT data pipelines and ensure high availability and resilience.
Required Skills:
- Strong expertise with AWS IoT Core, MQTT protocol, and IoT Rules Engine.
- Proficiency in Aurora PostgreSQL schema design, query tuning, and time-series handling.
- Proven experience with AWS Glue, Lambda, and AppFlow for orchestration and integration.
- Solid programming experience in Python or Node.js, especially for Lambda functions.
- Working knowledge of data lake architecture, S3, Glue Catalog, and Athena.
Preferred Qualifications:
- AWS Certifications.
- Experience working in smart factory, industrial IoT, or connected device ecosystems.
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