Data Engineer with Python
Design and implement product features in collaboration with developers, architects, product owners, and domain experts. Develop production-grade Python code for industrial IoT and timeseries data analytics applications. Build scalable data-processing algorithms using machine-learning-based and deterministic approaches. Develop backend services, web applications, and REST APIs using FastAPI or Flask. Design and maintain efficient data pipelines and ETL processes for large-scale timeseries datasets. Write unit, integration, and component test cases following software engineering best practices. Deploy and operationalize solutions on Microsoft Azure, including Azure Functions and Azure Databricks. Investigate and resolve production issues, incorporate stakeholder feedback, and drive continuous improvements.
- Bangalore, Karnātaka, India
- Full-time
- Posted Nov 12, 2026
Responsibilities
- Design and implement product features in collaboration with developers, architects, product owners, and domain experts.
- Develop production-grade Python code for industrial IoT and timeseries data analytics applications.
- Build scalable data-processing algorithms using machine-learning-based and deterministic approaches.
- Develop backend services, web applications, and REST APIs using FastAPI or Flask.
- Design and maintain efficient data pipelines and ETL processes for large-scale timeseries datasets.
- Write unit, integration, and component test cases following software engineering best practices.
- Deploy and operationalize solutions on Microsoft Azure, including Azure Functions and Azure Databricks.
- Investigate and resolve production issues, incorporate stakeholder feedback, and drive continuous improvements.
Requirements
- Bachelor’s or master’s degree in Computer Science, Electronics and Communication, Electrical Engineering, Data Engineering, or equivalent.
- Experience in a Industrial IoT
- Experience in a timeseries data analytics
Skills
Full description
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