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.