About Gradera
Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes
Overview
We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake
Support production data systems through monitoring, troubleshooting, and incident resolution.
Build business data warehouse solutions using Terradata for business intelligence.
Our core data platform stack includes:
Data Platform & Lakehouse
Databricks as the single point of truth for all data
Realtime Data Pipelines implemented using Kafka for data ingestion.
Databricks SQL for analytical queries
Stream & Event Processing
Data Quality
Preferred Qualifications
Highly Desirable
