Data Integration Engineer

Responsible for the development and design of data integrations and data ingestion processes for Apple internal and external data. Develop data models and mapping rules to transform raw data into actionable insights and reports. Design and implement a semantic layer that integrates analytics data from multiple sources in an efficient and effective manner. Collaborate with the analytics and data science teams to understand their requirements and deliver solutions that meet their needs. Collaborate with internal business partners, internal technology resources (database, system, networking), external vendors, and partners. Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries. Ensure data quality and accuracy by developing data validation and reconciliation processes. Build and maintain data pipelines for ingesting, processing, and transforming unstructured data sources, such as customer feedback, social media data, or sales call recordings. Develop data quality monitoring and validation processes specifically for AIML datasets, including identifying and addressing data bias. Work with data scientists to understand data requirements for AIML model training and deployment, ensuring data is available in the appropriate format and quality. Implement data governance policies and procedures to ensure the responsible and ethical use of data in AIML applications.