Databricks Certified Data Engineer Professional

The Databricks Certified Data Engineer Professional is a highly regarded credential that demonstrates a professional’s ability to design and implement production-level data workflows using Databricks tools and Apache Spark. It is tailored for individuals who work on complex ETL processes, data transformations, and real-time data integration.

This certification covers a comprehensive range of topics, including advanced Spark programming, Delta Lake optimization, performance tuning, orchestration, streaming data, and data quality enforcement. Candidates gain deep hands-on experience working with large-scale data solutions in cloud environments.

Ideal for senior data engineers, data architects, and analytics engineers, this certification demonstrates proficiency in building high-performance, reliable, and maintainable data pipelines on Databricks.

Key Features

• Validates advanced skills in building and managing data pipelines on Databricks.

• Covers critical areas: Apache Spark, Delta Lake, streaming, and performance optimization.

• Designed for professionals with hands-on experience in big data and ETL workflows.

• Aligns large-scale data processing with real-time analytics and lakehouse architecture.

• Suitable for roles in advanced data engineering, analytics architecture, and data infrastructure.