Data Engineer with Python
ABB
Data Engineer with Python
ABB
Electrification, automation, and robotics solutions
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 LeadYour 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 Traction 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.
3-8 years of software development experience, including at least 2 years of strong production-grade Python development.
Good problem-solving, analytical, and software design skills with expertise in OOP, data structures, and algorithms.
Good 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.
More about us:
ABB Traction Division is a recognized leader in onboard propulsion technologies that drive innovation in rail, bus, and industrial vehicle electrification. A comprehensive range of high-performance and full lifecycle managed propulsion, auxiliary and energy storage solutions help improve energy efficiency and contribute to making transportation more sustainable.
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Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.
Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.
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ABB provides electrification and automation technologies for industry and infrastructure. Its products include smart building systems, electric vehicle charging, robotics, motors and drives, and factory automation software, delivered as integrated hardware and software that manage energy and automate tasks. ABB differentiates itself with a long history in power and automation, a broad global footprint, and a focused portfolio around electrification, motion, process automation, and robotics, complemented by digital services. Its goal is to help customers use energy more efficiently and work more productively, enabling sustainable and resource-efficient operations and transportation.
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