Cummins Inc.
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Pune · On-site · 2-5 Yrs · Oct 26
Transportation Equipment Manufacturing · 10000+ Employees · Columbus, US
Cummins is a place big enough to coach and develop a global workforce and create the world’s leading clean, engine technology. We’re also small enough for you to find your fit and personal passion with a team of dependable, innovative thinkers who are developing their careers within a diverse, inclusive, empowering environment. Cummins Inc., a global power technology leader, is a corporation of complementary business units that design, engineer, manufacture, distribute and service engines and related technologies, including fuel systems, controls, air handling, filtration, emission solutions and electrical power generation systems. Headquartered in Columbus, Indiana, we employ 60,000+ people worldwide and serve customers in approximately 190 countries and territories through a network of more than 500 company-owned and independent distributor locations and approximately 7,500 dealer locations. Cummins had net income of $1 billion and revenues of $20.4 billion in 2017.
Hiring: Engineering
What employees say
+ Workload less Supportive management Good stipend
− Not much; it depends on management and the business unit.
More reviews on the company profile.
Interview experience · Software Engineer
It was good. Only 1 round happened and right after that i got an offer letter. Onboarding was smooth. HR was very supportive throughout the process. It was a good experience
Easy difficulty · India · 187 reports
More interview insightsJob description
Overview
Data Scientist / Data Engineer (m/w/d) (Pune)
Responsibilities
- Develop and maintain reliable, scalable, and efficient ETL/ELT data pipelines using technologies such as Azure Databricks, PySpark, Python/Scala, and SQL .
- Design and implement data ingestion and transformation solutions for a variety of data sources, including relational, event-based, and unstructured data.
- Build and maintain scalable Data Lake and Lakehouse solutions and optimize data processing and storage performance.
- Develop physical data models and implement data storage architectures in accordance with established design and engineering guidelines.
- Implement data quality checks, monitoring, alerting, and troubleshooting mechanisms to identify and resolve data quality and data integrity issues.
- Analyze complex data elements, data flows, dependencies, and relationships to contribute to conceptual, logical, and physical data models.
- Develop and operate large-scale data storage and processing solutions using distributed and cloud-based technologies.
- Work with Azure services such as Azure Data Lake Storage (ADLS), Event Hubs, and Azure Functions to support scalable data solutions.
- Implement and support data governance practices, including metadata management, data access, retention, and availability.
- Participate in testing, validation, troubleshooting, and continuous improvement of data pipelines and solutions.
- Collaborate with business stakeholders, analysts, data scientists, and IT teams to understand requirements and deliver analytics and data solutions.
Qualifications
- Positive understanding of Data Lake, Delta Lake, Lakehouse, ETL/ELT, data modeling, and distributed data processing concepts.
- Exposure to or knowledge of Big Data technologies such as Spark, MapReduce, Hive, HBase, Kafka , or equivalent technologies.
- Familiarity with designing solutions that support large-scale data movement and processing in cloud environments.
- Understanding of data quality, data integrity, metadata, governance, and data management principles.
- Exposure to analytical solutions, IoT technologies, and data-driven applications is beneficial.
- Familiarity with Agile software development, DevOps, Scrum, or Kanban methodologies.
- Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
- Strong focus on quality, solution validation, testing, security, governance, and continuous improvement.
- Data Extraction and ETL/ELT
- Programming and Data Engineering
- Data Quality and Data Governance
- Solution Validation and Testing
- Problem Solving and Decision Quality
- Quality Assurance and Metrics
- Bachelor's degree or equivalent qualification in Computer Science, Information Technology, Engineering, Data Science, or another relevant technical discipline , or equivalent relevant experience.
- 24 years of relevant Data Engineering experience preferred.
- Relevant experience through internships, co-op programs, temporary student employment, academic projects, or extracurricular technical activities may be considered for early-career candidates.
- Job Systems/Information Technology
- Job Type Exempt - Experienced
- Relocation Package No .
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Data Scientist / Data Engineer (m/w/d) (Pune) at Cummins Inc.?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cummins Inc. may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Scientist / Data Engineer (m/w/d) (Pune) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Scientist / Data Engineer (m/w/d) (Pune) remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Scientist / Data Engineer (m/w/d) (Pune) role at Cummins Inc.?
- This is a mid-level Data Scientist / Data Engineer (m/w/d) (Pune) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.