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Apple Sr Software Engineer Data Quality Partner Solutions & Technology United States, California, Sunnyvale 63562750
06.05.2025
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- 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
- 5+ years of experience in roles such as Data Quality, 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 and experience with data governance
- Bachelor's degree in Computer Science or equivalent experience
- Strong analytical and problem-solving skills
- Strong attention to detail and commitment to data accuracy
- 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 and CI/CD pipelines
- Demonstrate a strong understanding of development processes and agile methodologies
- Familiarity with programming languages like Python and 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
- Excellent written and verbal communication skills, possessing the ability to work efficiently with members of other data functions and maintaining clear and effective communication with stakeholders
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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