Data Engineer

• Develop, optimize, and maintain ETL pipelines using Databricks on cloud platforms (AWS, Azure, or GCP).
• Implement Databricks Workflows and Jobs to automate data processing and transformations.
• Leverage Databricks SQL and Delta Live Tables to create real-time and batch data processing pipelines.
• Stay updated with Databricks advancements.

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - R & D Robotics Engineer, Software Developer IoT, Cloud, ML, Big Data Analytics, Azure IoT Data Scientist, Data Scientist, Big Data Engineer, Other IT Robotics & Automation / IoT / Machine Learning
• Employment type - Full Time - Permanent
• Work Mode - Hybrid

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

Job Related Keywords