Senior Software Engineer - Data Engineering

Caterpillar Financial Services Corporation; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Caterpillar Financial Services Corporation seeks a senior Data Engineer to build scalable data pipelines on AWS and Snowflake, with hands-on Python/SQL and experience in graph and vector databases.

You will collaborate with data scientists and business teams to deliver reliable data solutions, ensure quality and security, and lead architectural discussions in a fast-paced environment.

Qualifications

• 8+ years of data engineering experience.
• Strong hands-on AWS cloud services experience for data and AI workloads.
• Deep Snowflake architecture knowledge and performance tuning.
• Advanced Python and SQL for pipelines and transformations.
• Experience with graph databases (Neo4j/Neptune) and vector databases (Milvus/OpenSearch).
• Experience with Git and Git workflows.
• Experience with Azure DevOps (AzDO) boards in Agile environments.
• Excellent analytical and collaboration skills.
• Bachelor’s or Master’s degree in CS/Engineering or related field.

Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS (S3, Glue, Lambda, Redshift, EMR).
• Build and optimize Snowflake data warehousing solutions and data modeling.
• Write clean, efficient Python and SQL for data transformations.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs.
• Integrate vector databases with LLM-based applications and AI workflows.
• Monitor, troubleshoot, and improve pipeline performance and reliability.
• Ensure data quality, integrity, and security across pipelines.
• Participate in code reviews and architecture discussions.

Skills

AWS

Python

SQL

Snowflake

Graph databases

Vector databases

Git

Azure DevOps

Education

Bachelor's or Master's in CS/Engineering

Tools

Neo4j

Neptune

Milvus

OpenSearch

Git

Kafka

Spark

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.
• Integrate vector databases with LLM-based applications and AI workflows.
• 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

• 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.
• Hands-on experience with graph databases (e.g., Neo4j, Neptune) and vector databases (e.g., Milvus, Amazon OpenSearch).
• Experience with version control systems (e.g., Git) and Git workflows.
• 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.
• Exposure to RAPIDS libraries (cuDF, cuML, cuGraph) or CUDA-based tooling for GPU-accelerated data processing, enabling faster transformation and optimization during large-scale ingestion workflows.
• Hands-on expertise with vector databases, specifically Milvus, covering schema design, indexing, and optimizing write performance for large-scale embedding ingestion pipelines.
• Proficiency in building Knowledge Graph (Neo4J) ingestion pipelines using Graph Databases - including entity extraction, relationship modelling, and populating nodes and attributes.

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.

Posting Dates:

August 7, 2026 - August 20, 2026

Caterpillar is an Equal Opportunity Employer.

Qualified applicants of any age are encouraged to apply.