The Databricks Developer course is a complete, job-oriented training program designed for aspiring Data Engineers, Big Data professionals, Python/SQL developers, and anyone planning a career in Databricks or Lakehouse-based ETL systems.

No prior programming experience is required. Basic SQL knowledge helps, but the course teaches SQL and Python from the fundamentals before moving into advanced Databricks concepts.

You will learn SQL Server (T-SQL), Python for ETL, Databricks Workspace, Spark SQL, PySpark, Delta Lake, Delta Live Tables, Auto Loader, Unity Catalog, Workflows, Streaming, Lakehouse Architecture, and complete real-time project pipelines.

Yes. The course is 100% hands-on and includes real-time projects in domains such as e-commerce, banking, and sales, with end-to-end ETL pipelines, CI/CD, Delta Lake, and Medallion architecture.

You can apply for roles like Databricks Developer, Data Engineer, PySpark Developer, ETL Engineer, Azure/AWS Data Engineer, and Lakehouse Engineer.

The course consists of three modules:
Module 1 – SQL Server & T-SQL
Module 2 – Python for ETL
Module 3 – Databricks (Spark, Delta, Streaming, DLT, UC, Pipelines)

You will learn Delta Lake, Delta Live Tables (DLT), Auto Loader, Spark SQL, PySpark, Unity Catalog, Streaming, Workflows, Lake Flow, and Performance Tuning.

SQL is taught from basics to advanced (Joins, Views, SPs, Triggers, CTEs, Window Functions, Merge, Indexing). Python covers data types, functions, loops, exceptions, file handling, Pandas, and ETL transformations.

Yes. You will learn Workspace objects, Unity Catalog Admin, metastore, system tables, securable objects, catalog-schema-volume creation, and access control lists.

Yes. Structured Streaming, Auto Loader, micro-batch, watermarking, Delta streaming reads/writes, and live streaming pipelines are included.

Yes. The training includes daily assignments, weekly mock interviews, real-time projects, and end-to-end pipeline tasks.

Yes. Students receive full access to Databricks Workspace, practice notebooks, datasets, and all required implementation files.

Yes. You get 1:1 resume building, weekly mock interviews, project-based interview questions, and career support until placement.

Yes. You will receive preparation support for Databricks Certified Data Engineer Associate and Professional certifications.

Databricks is one of the fastest-growing platforms in the Data Engineering ecosystem, and companies worldwide are rapidly adopting the Lakehouse architecture, creating high demand for skilled developers.

In India, salaries range from ₹8 LPA to ₹22 LPA. In the USA, salaries range from $95,000 to $170,000 depending on experience and cloud expertise.

Yes, Spark is the core engine behind Databricks. However, the course teaches Spark SQL and PySpark from scratch, so beginners can learn smoothly.

Azure Data Factory is an orchestration tool, Synapse is a warehouse/analytics platform, while Databricks is a unified Lakehouse Platform for ETL, ML, BI, and high-performance data pipelines.

Yes. The program starts from zero level and gradually moves to advanced ETL and Lakehouse topics, making it suitable for freshers, working professionals, and career switchers.

You can join by contacting the team at +91 96664 40801 or visiting www.sqlschool.com to register for a free live demo session.

The course is available in multiple flexible modes including Live Online Instructor-Led Training, Classroom Training at our institute, and Self-Paced Video Learning. You can choose the mode that best fits your schedule and learning style.

This program is taught by real-time industry experts with 20+ years of experience, includes 100% hands-on labs, daily tasks, weekly assessments, real-time case studies, resume building, mock interviews, and complete placement assistance—ensuring practical learning and job readiness.