Data Engineer With Python

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to:

R&D Team Lead

Your role and responsibilities:

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.

You will be mainly accountable for:

- 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 :

- Bachelor’s or master’s 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 strong production-grade Python development.

- Strong problem-solving, analytical, and software design skills with expertise in OOP, data structures, and algorithms.