IT Analyst Applications ( Data Engineer – AI & Analytics )

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.

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.

We are seeking a skilled and experienced IT Analyst Applications ( Data Engineer – AI & Analytics ) to join our India GCC – GCIO ETL Services -CAT IT Division. Caterpillar is accelerating data‑driven decision making across engineering, manufacturing, supply chain, services, and digital products. As a Data Engineer with AI skillset, you will design and build robust data pipelines, features, and platforms that power analytics, machine learning, and GenAI use cases—such as predictive maintenance, parts demand forecasting, warranty analytics, and intelligent knowledge retrieval. The preference for this role is to be based out of Bangalore – Caterpillar PSN What you will do Data Pipelines & Integration Design, build, and maintain scalable batch/streaming pipelines (e.g., telematics/IoT, SAP, PLM, MES, service/warranty, dealer systems). Implement CDC, schema evolution, and data quality checks (Great Expectations/Deequ/custom). Develop feature pipelines for ML and analytics (feature stores, time-series transformations). Data Modelling & Storage Model data for lakes/lakehouses/warehouses (Delta/Parquet/Iceberg) following medallion or similar architectures. Optimize partitioning, compaction, and performance for large datasets. AI/ML Enablement Partner with Data Scientists to productionize models (batch/real-time), build inference pipelines/APIs, and manage feature stores. Contribute to MLOps (CI/CD for models and data, model versioning, monitoring, drift detection). Support GenAI use cases (RAG pipelines, vector indexing, prompt orchestration, governance). Platform & DevOps Implement infrastructure‑as‑code, CI/CD and observability (lineage, cataloging, logging/metrics). Enforce security, privacy, and compliance (PII handling, role-based access, data contracts). What you will have  Bachelor’s or master’s degree in computer science, Data Engineering, Industrial Engineering, or related field. Overall, at least 7+ years of experience in Data engineering Strong proficiency in Snowflake, SQL, Python, and ETL tools (e.g. Snaplogic). Familiarity with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift). AI/MLOps Exposure: Building feature pipelines, packaging and deploying models (batch/real‑time). Model serving (Databricks Model Serving, MLflow, Azure ML etc), model registry, experiment tracking. Familiarity with vector databases and RAG patterns. Behavioural Competencies Ownership & bias for action; thrives in a product operating model. Clear communicator who can bridge business and engineering. Pragmatic, security‑first, automation‑oriented mindset. Collaborative partner across global, cross‑functional teams . This position requires candidate to work a 5-day -a -week schedule in the office Shift Timing-01:00PM-10:00PM IST Skills desired: Core Application Systems: Knowledge of major production application systems used for delivery of