Caterpillar
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Bengaluru · On-site · 5-8 Yrs · Aug 19
Machinery Manufacturing · 10000+ Employees · Irving, US
At Caterpillar, you build what matters—whether it’s the career you want, crucial work skills, strong relationships or new digital technologies. There are big jobs to be done worldwide—building critical infrastructure, bolstering local economies, meeting the demand for energy—and that work is powered by our people. Every single Caterpillar employee moves our company forward. Piece by piece, part by part, person by person. Together we create sustainable, world-changing solutions that impact lives around the globe. Join our winning team and help build a better world.
Hiring: Engineering
What employees say
+ good for freshers , overall good
− noting to say about cons
More reviews on the company profile.
Interview experience · Inventory Analyst
My experience thru out the interview was good it was basically in terms of two rounds one virtual and final in person both were good , got immense amount of experience like faced the questions that was never expected
Difficult difficulty · Bengaluru · 512 reports
More interview insightsJob description
Overview
Career Area: Technology, Digital and Data
Responsibilities
- Design, develop, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Redshift, and EMR.
- Build and optimize data warehousing solutions using Snowflake, including performance tuning and data modeling.
- Write efficient and reusable code in Python and SQL for data transformation and processing.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements.
- Monitor, troubleshoot, and improve pipeline performance and reliability.
- Ensure data quality, integrity, and security across all stages of the pipeline.
- Participate in code reviews, architecture discussions, and continuous improvement initiatives.
Qualifications
- 5-8 years of experience in data engineering or related roles.
- Strong hands-on experience with AWS cloud services, including data and AI workloads.
- Deep understanding of Snowflake architecture, performance tuning, and best practices.
- Advanced proficiency in Python and SQL for data pipelines, transformations, and services.
- Strong understanding of graph and vector data modelling concepts and their practical applications.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Familiarity with data governance and compliance practices.
- Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming).
Nice to have
- Knowledge of the NVIDIA ecosystem and its applications in data and AI.
- Hands on experience with Vector (Milvus or similar) and Graph (Neo4J or similar) databases
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Job application FAQ
Last updated 20 August 2026
- How do I apply for Software Engineer - Data Engineering at Caterpillar?
- 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. Caterpillar may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Software Engineer - Data Engineering 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 Software Engineer - Data Engineering remote or on-site in Bengaluru, Karnataka (+1 other)?
- This listing is marked on_site with location Bengaluru, Karnataka (+1 other). Confirm details on the job description before applying.
- What skills matter for this Software Engineer - Data Engineering role at Caterpillar?
- This is a mid-level Software Engineer - Data Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.