Data Engineer With Python

ABB; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

ABB in Bengaluru, India seeks an experienced software engineer to contribute to industrial IoT and data analytics platforms. You will join a global agile team delivering scalable solutions.

Responsibilities include Python backend development, REST APIs with FastAPI/Flask, Azure deployment, and building data pipelines for large time-series datasets. 8+ years experience preferred.

Qualifications

• 8+ years of software development experience with strong Python production-grade delivery.
• Experience building scalable backend services and data pipelines.
• Knowledge of REST APIs, OOP, and software architecture best practices.

Responsibilities

• Design and implement product features with developers, architects, and domain experts.
• Develop production-grade Python code for industrial IoT and time-series analytics.
• Build scalable data-processing algorithms using ML-based and deterministic approaches.
• Develop backend services, web apps, and REST APIs using FastAPI or Flask; maintain data pipelines.
• Write unit/integration tests; deploy and operationalize on Azure (Functions, Databricks).
• Investigate production issues and drive continuous improvement.

Education

Bachelor's or Master's in Computer Science, Electronics & Communication, Electrical Engineering, Data Engineering, or equivalent

Tools

Python

FastAPI

Flask

Azure Functions

Azure Databricks

Job description

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 strong 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.