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Niche Azure plus OT streaming specialization and seniority reduce qualified candidate density.
Role demands Azure-specific data engineering and industrial OT experience, making cross-industry transfer difficult.
Multiple mandatory Azure data services, advanced Python, and OT integration skills create rigorous technical filters.
Develop and maintain scalable batch and real-time data pipelines integrating industrial systems (e.g., SCADA, MES, Historians, IIoT) with enterprise and cloud platforms.
Implement solutions leveraging Azure data services including Event Grid, Event Hub, Stream Analytics, Data Explorer, Databricks, and Data Lake Storage (ADLS Gen2).
Optimize data processing workflows focusing on performance, security, and scalability while collaborating with stakeholders and preparing technical documentation.
Proven expertise in Azure data engineering services: Event Grid, Event Hub, Stream Analytics, Data Explorer, Databricks, and ADLS Gen2.
Advanced Python programming skills with experience in building data pipelines.
Experience with real-time streaming and data lake architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with IT/OT Integration in manufacturing, pharma, or industrial automation domains.
Skilled in data modeling and integrating industrial data sources such as SCADA, MES, Historian, IIoT platforms.
Has Azure certifications or demonstrable expertise validating knowledge of Azure data services and related cloud technologies.