Databricks Engineer

About This Course

Databricks Engineers design, build, and optimize scalable data engineering and analytics solutions using the Databricks Lakehouse Platform. They work with data engineers, data scientists, and business teams to process large-scale datasets, develop ETL pipelines, and enable advanced analytics and machine learning workloads. This course prepares learners for a career as a Databricks Engineer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in Python, SQL, Apache Spark, PySpark, Delta Lake, Databricks Workflows, data transformation, data warehousing, cloud data platforms, and performance optimization. The curriculum includes practical experience with industry-standard big data technologies and cloud environments. Through live projects and capstone assignments, participants develop programming, analytical, and data engineering skills, preparing them for Databricks Engineer, Data Engineer, Big Data Engineer, Analytics Engineer, and Data Platform Engineer roles across diverse industries.

Key Responsibilities

• Design and implement data engineering and analytics solutions on the Databricks platform
• Build and optimize scalable data pipelines using Apache Spark and Delta Lake
• Develop and manage ETL workflows, data lakes, and machine learning pipelines
• Monitor data performance, security, and governance across cloud environments
• Collaborate with data scientists, analysts, and business teams to deliver end-to-end data and AI solutions

Growth Path

Tools Used

Perfect For

Computer Science and Engineering Graduates | Data Engineers and Software Developers | Big Data and Cloud Professionals | Data Science and Analytics Aspirants | Database and ETL Professionals | Individuals Interested in Modern Data Platforms and AI Solutions

Fee Structure