L #2833
Applications open
Full-Time Job
Data Engineer with Python
ABB
About the role
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 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.
#ABBCareers #RunwithABB #Runwhatrunstheworld
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.
Recruitment Fraud Warning
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View current job openings and apply at: https://careers.abb/global/en/home
For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for ABB and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
ABB Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for ABB and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, SQL, FastAPI, Flask, REST APIs, Azure, CI/CD, Git) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
ABB Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join ABB as a Data Engineer with Python?
Highlight ABB's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight ABB's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Bengaluru, India
Employment type: Full-time
