WW Sales Business Process Re-engineering Data Engineer, Data Quality

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! As a Data Engineer for our data quality program, you will spearhead initiatives to ensure the highest level of data quality for internal Sales teams and customers. You will partner with IST, Data Analysts and multi-functional teams to develop, implement, and maintain tools and processes that evaluate and enhance the quality of our data. Your insights and strategies will influence the accuracy and reliability of Sales tools and reporting, identifying and resolving data quality issues, and setting service level standards for data quality.

- Manage the development lifecycle and resources across all data quality initiatives
- Implement data quality processes including translation, parsing, analysis, standardization, and enrichment at point of entry, batch, and real time modes
- Design, develop, test, deploy and document data quality procedures/mappings and outputs that will run in a scheduled, batch, or real-time environment
- Create metrics to evaluate data accuracy, consistency, and relevance. Identify and employ statistical methods relevant to data quality testing
- Develop and implement scorecards to monitor data quality program performance. Identify causes of errors or discrepancies in data collection and recommending solutions
- Contribute to data culture by promoting data quality awareness and ensure that data pipelines adhere to quality standards
- Work with collaborators and vendors to identify and implement data validation checks. Implement and automate test cases and perform bug tracking