Data Engineer With Python (Bengaluru)

Data Engineer With Python (Bengaluru)

28 Aug
|
ABB
|
Bengaluru

28 Aug

ABB

Bengaluru

Job Summary

This Position reports to: RD Team Lead.

Our IoT solutions are market-leading for monitoring motors, rotating machines, drives, buildings, infrastructure, and utilities. We are expanding our development capacity to accelerate feature releases. You will join a global agile development team of 30+ developers, product owners, and architects to deliver high-quality, scalable digital solutions.

This role is contributing to the Motion Business Service Division in Bangalore India.

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.

Qualifications for the role
- Bachelors or masters degree in Computer Science, Electronics and Communication, Electrical Engineering, Data Engineering, or equivalent.
- 8+ years of software development experience, including at least 4 years of solid production-grade Python development.
- Strong problem-solving, analytical, and software design skills with expertise in OOP, data structures, and algorithms.
- Solid understanding of software architecture, design patterns, SOLID principles, and clean-code practices.
- Experience developing scalable backend services, REST APIs, and data pipelines using Python frameworks (FastAPI/Flask).
- Proficiency with Pandas, NumPy, Scikit-learn, and timeseries data processing for industrial or operational analytics.
- Experience with unit/integration testing (PyTest or similar), Git, CI/CD pipelines, and DevOps practices.
- Strong knowledge of Microsoft Azure application development, including Azure Functions, Azure Databricks, SQL, and NoSQL concepts.

📌 Data Engineer With Python (Bengaluru)
🏢 ABB
📍 Bengaluru

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