Candidates for this certification should have subject matter expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.
Azure data engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques. These professionals use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. This data store can be designed with different architecture patterns based on business requirements, including modern data warehouse (MDW), big data, or lakehouse architecture.
Azure data engineers also help to ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. These professionals help to identify and troubleshoot operational and data quality issues. They also design, implement, monitor, and optimize data platforms to meet the data pipelines.
Candidates for this certification must have solid knowledge of data processing languages, including SQL, Python, and Scala, and they need to understand parallel processing and data architecture patterns. They should be proficient in using Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks to create data processing solutions.
The English language version of this certification was updated on February 6, 2023. Review the study guide linked on the Exam DP-203 page for details about recent changes.