Data Engineer with Python
Sourceo3–8 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable industrial IoT product features and data-processing algorithms using Python.
- Develop backend services, REST APIs, data pipelines, and ETL processes for large-scale timeseries datasets.
- Deploy and operationalize solutions on Microsoft Azure; maintain code quality with testing and resolve production issues.
Minimum Requirements
- Bachelor’s or master’s degree in Computer Science, Electronics and Communication, Electrical Engineering, Data Engineering, or equivalent.
- 3-8 years of software development experience, including at least 2 years of production-grade Python development.
- Experience with Python frameworks (FastAPI or Flask), timeseries data analytics (Pandas, NumPy, Scikit-learn), and Microsoft Azure services (Azure Functions, Azure Databricks).
- Proficiency in software engineering best practices including OOP, design patterns, SOLID principles, testing (PyTest), Git, CI/CD, and DevOps.
Ideal Candidate Profile
- Experienced in building scalable backend and data pipeline solutions within an agile, multidisciplinary development team.
- Strong background in industrial or operational analytics with timeseries datasets and machine learning techniques.
- Demonstrates software architecture expertise and ability to operationalize applications on cloud platforms, primarily Microsoft Azure.