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Apple Software Engineer Master Data Management Partner Solutions Technology United States, Texas, Austin 469094428
30.06.2025
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
- 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
- Deep SQL expertise, data modeling or experience with data governance
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Experience with data quality and governance tools such as Informatica (other tool experience can also be considered)
- 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
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