Software Engineer - Data Engineering

Caterpillar Brazil; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Relocation support

Job summary

Caterpillar Inc. in Bengaluru is seeking a seasoned Data Engineer to design and maintain scalable data pipelines on AWS, leveraging S3, Glue, Lambda, Redshift and EMR.

You will build Snowflake data warehousing solutions, write Python and SQL, and collaborate with data scientists and analysts to translate business needs into reliable data models. The role emphasizes performance tuning, data quality, security, and CI/CD deployments, with onsite work five days a week and relocation support

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.
• Experience developing and operating CI/CD pipelines (GitHub Actions) and cloud native deployments.
• Experience working with Azure DevOps boards for backlog management in Agile environments.

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.

Skills

Python

SQL

AWS

Data modeling

CI/CD

Education

Bachelor’s or Master’s in CS/Engineering

Tools

GitHub Actions

Azure DevOps (AzDO)

Job description

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Job Summary

We are looking for a highly motivated and experienced Data Engineer to join our data engineering team. The ideal candidate will have a strong background in building scalable data pipelines using the AWS cloud stack and extensive hands‑on experience with Snowflake. Proficiency in Python and SQL, along with graph and vector database technologies, is essential. This role requires strong problem‑solving abilities and a proactive mindset to deliver efficient, scalable, and reliable data solutions.

Key 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.

Required 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.
• Experience developing and operating CI/CD pipelines (GitHub Actions)and cloud native deployments.
• Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments.
• 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.

Nice to Have skills

• 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.

Preferred Qualifications

• Experience with orchestration tools such as AWS Step Functions.
• Familiarity with data governance and compliance practices.
• Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming).

This position requires working onsite five days a week. Relocation is available for this position.

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar. Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.