Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- 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.
- Nimble learning. Willingness to explore and adapt
- Good verbal & written English communication
- Ability to work with globally diverse teams.
- Abstract & Analytical Thinking.
- Interpersonal savvy. A very good team player
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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