Data Engineer implementing data orchestration using Azure services and open-source tools for IIOT ecosystem. Focused on data extraction, transformation, and loading for enterprise data management.
Responsibilities
Implement Data engineering solutions on premise or on cloud for IIOT Ecosystem. (Sensor Data)
Leverage open source ETL tools
Develop batch processing, streaming and integration solutions
Monitor databases and data processing for a specified scenario
Implement big data real-time processing and integration solutions
Leverage Azure Cloud services
Requirements
Education: B.E./M.Sc./M.E./M. Tech.
Experience: 3 – 5 years in Core Data Engineering.
Minimum 1 Year in Azure Data Engineering
Very strong @ SQL-PL SQL - MS Sql Server , PostGre SQL
Experience in Pyspark and Microsoft Fabric or Databricks
Files Processing – XML, CSV, Excel, JSON, etc. Formats
Structured and Non-Structured Data processing
Data ETL Capabilities using tools like Talend, Node -Red etc.
Experience with REST APIs, Web Services
Experience with Event Hub, IoT Hub, Azure Functions, etc. on Azure.
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