Sr. Software Engineer (Data Quality), Partner Solutions & Technology at Apple
Sunnyvale, California, USA -
Full Time


Start Date

Immediate

Expiry Date

02 Aug, 25

Salary

264200.0

Posted On

02 May, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Azure, Programming Languages, Communication Skills, Agile Methodologies, Java, Data Governance, Data Quality, Computer Science, Data Profiling, Python, Snowflake, Machine Learning, Data Modeling, Distributed Systems

Industry

Information Technology/IT

Description

Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. We are implementing an extraordinary Core Data system with a strong emphasis on Data Management, Data Quality, Data Validation, Data Transformations, and Data Pipelines at Apple. Apple’s Partner Solution & Technology group is seeking a highly skilled and diligent Software Engineer to join our team. As a Core Data Engineer, you will be responsible for ensuring the accuracy, reliability, integrity and quality of our data systems. You will play a meaningful role in maintaining high data standards, implementing data quality improvement initiatives, and developing data quality metrics.

DESCRIPTION

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

MINIMUM QUALIFICATIONS

  • Overall 10+ years building enterprise level applications on large-scale distributed systems
  • 5+ years of 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 and experience with data governance
  • Bachelor’s degree in Computer Science or equivalent experience

PREFERRED QUALIFICATIONS

  • 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
Responsibilities

Please refer the Job description for details

Loading...