【Apple】Software Engineer (Master Data Management), Partner Solutions and Technology
仕事内容
Key responsibilities will include: - Design, develop, and implement data quality strategies, processes, and tools - Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements. - Develop and build a data pipeline to enable the master data management platform - Conduct data profiling, data cleansing, and data validation to identify and resolve data quality issues - Develop and maintain data quality metrics, dashboards, and reports to supervise data quality performance - Collaborate with data engineers, data analysts, and other collaborators to define data quality requirements and standard processes - Ensure high performance, privacy, security, scalability, and reliability in our solutions - Perform root cause analysis of data issues and implement corrective actions - Continuously improve data quality processes and tools through automation and innovation
応募資格(必須経験など)
Minimum Qualifications
• Overall 10+ years building enterprise level applications on large-scale distributed systems
• Experience as a Data Quality and Governance Engineer or a similar role
• Proficiency in data profiling or data cleansing or data validation techniques
• Experience with data quality and governance tools such as Informatica (other tool experience can also be considered)
• Deep SQL expertise, data modeling or experience with data governance
• Bachelor's degree in Computer Science, Information Systems, or a related field
Preferred Qualifications
• Strong analytical and problem-solving skills
• Strong understanding of data quality principles, practices, and methodologies
• Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done
• Familiarity with REST APIs
• Familiarity with CI/CD pipelines
• Demonstrate an understanding of development processes and agile methodologies
• Familiarity with programming languages like Python or Java
• Experience in enterprise-ready Cloud data warehousing platforms like Snowflake is highly valued
• Knowledge of machine learning and statistical analysis
• Experience with cloud data platforms (e.g., AWS, Azure)
• Certifications in data governance or master data management domain