Health Systems Data Quality Engineer
Apple
Health Systems Data Quality Engineer
Job Description
Be part of the Quality Engineering team responsible for delivering high-quality data which will enable the next-generation health sensing technologies and algorithms. We are looking for motivated and talented individuals to help ensure robustness, accuracy, and stability of large scale data processing pipelines and data monitoring tools. In this technically challenging role you will work together with algorithms, data engineering and quality assurance teams to build stable and high performance testing, monitoring and analytical services for scalable data platforms. This role is essential to enabling Health Algorithms research by ensuring high quality data at scale. You will be collaborating with multi-functional teams such as the data engineering, data science, algorithms, design, operations and QA teams to test, validate and monitor data platforms and the data flowing through them. To do that, you will need to design, develop and maintain/own software services and test automation frameworks. Your work will have direct and essential impact to future Apple products. Core responsibilities: Design, own and maintain scalable and robust test automation frameworks, create services and tools for testing and monitoring of data processing infrastructure and of data monitoring reports. Provide feedback and reporting on data pipelines and inform partnering teams of issues or progress. Test the functionality and accuracy of data pipelines and data monitoring tools by leveraging Python and Spark. Understand complex software and data processing systems and be able to break the systems down into smaller components in order to deep dive into the implementation to ensure robust and reliable data processing produces the highest quality of data.
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing test automation frameworksintermediate
- developing software servicesintermediate
- maintaining test automation frameworksintermediate
- creating testing toolsintermediate
- creating monitoring toolsintermediate
- providing feedback on data pipelinesintermediate
- reporting on data pipelinesintermediate
- testing data pipelinesintermediate
- testing data monitoring toolsintermediate
- proficiency in Pythonintermediate
- experience with Sparkintermediate
- understanding complex software systemsintermediate
- understanding data processing systemsintermediate
- system decompositionintermediate
- deep dive into implementationsintermediate
- ensuring robust data processingintermediate
- ensuring reliable data processingintermediate
- collaboration with multi-functional teamsintermediate
Required Qualifications
- BS degree in Computer Science or Data Science and a minimum of 3 years relevant industry experience (experience, 3 years)
- Proficient in Python (experience)
Preferred Qualifications
- Strong software development skills, with 3+ years experience programming in Python (experience, 3 years)
- Experience with Apache Spark/PySpark, Apache Airflow, Pandas/Numpy (experience)
- Experience with infrastructure test automation and CI/CD workflows (experience)
- Experience with data visualization (experience)
- Familiarity with cloud-based infrastructure such as AWS (experience)
- Practical experience with SQL and NoSQL databases (MySQL, Postgres, MongoDB, etc) (experience)
- Quality driven, detail oriented, with excellent interpersonal skills (experience)
Responsibilities
- This role is essential to enabling Health Algorithms research by ensuring high quality data at scale. You will be collaborating with multi-functional teams such as the data engineering, data science, algorithms, design, operations and QA teams to test, validate and monitor data platforms and the data flowing through them. To do that, you will need to design, develop and maintain/own software services and test automation frameworks. Your work will have direct and essential impact to future Apple products.
- Core responsibilities: Design, own and maintain scalable and robust test automation frameworks, create services and tools for testing and monitoring of data processing infrastructure and of data monitoring reports. Provide feedback and reporting on data pipelines and inform partnering teams of issues or progress. Test the functionality and accuracy of data pipelines and data monitoring tools by leveraging Python and Spark. Understand complex software and data processing systems and be able to break the systems down into smaller components in order to deep dive into the implementation to ensure robust and reliable data processing produces the highest quality of data.
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Health Systems Data Quality Engineer
Apple
Health Systems Data Quality Engineer
Job Description
Be part of the Quality Engineering team responsible for delivering high-quality data which will enable the next-generation health sensing technologies and algorithms. We are looking for motivated and talented individuals to help ensure robustness, accuracy, and stability of large scale data processing pipelines and data monitoring tools. In this technically challenging role you will work together with algorithms, data engineering and quality assurance teams to build stable and high performance testing, monitoring and analytical services for scalable data platforms. This role is essential to enabling Health Algorithms research by ensuring high quality data at scale. You will be collaborating with multi-functional teams such as the data engineering, data science, algorithms, design, operations and QA teams to test, validate and monitor data platforms and the data flowing through them. To do that, you will need to design, develop and maintain/own software services and test automation frameworks. Your work will have direct and essential impact to future Apple products. Core responsibilities: Design, own and maintain scalable and robust test automation frameworks, create services and tools for testing and monitoring of data processing infrastructure and of data monitoring reports. Provide feedback and reporting on data pipelines and inform partnering teams of issues or progress. Test the functionality and accuracy of data pipelines and data monitoring tools by leveraging Python and Spark. Understand complex software and data processing systems and be able to break the systems down into smaller components in order to deep dive into the implementation to ensure robust and reliable data processing produces the highest quality of data.
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing test automation frameworksintermediate
- developing software servicesintermediate
- maintaining test automation frameworksintermediate
- creating testing toolsintermediate
- creating monitoring toolsintermediate
- providing feedback on data pipelinesintermediate
- reporting on data pipelinesintermediate
- testing data pipelinesintermediate
- testing data monitoring toolsintermediate
- proficiency in Pythonintermediate
- experience with Sparkintermediate
- understanding complex software systemsintermediate
- understanding data processing systemsintermediate
- system decompositionintermediate
- deep dive into implementationsintermediate
- ensuring robust data processingintermediate
- ensuring reliable data processingintermediate
- collaboration with multi-functional teamsintermediate
Required Qualifications
- BS degree in Computer Science or Data Science and a minimum of 3 years relevant industry experience (experience, 3 years)
- Proficient in Python (experience)
Preferred Qualifications
- Strong software development skills, with 3+ years experience programming in Python (experience, 3 years)
- Experience with Apache Spark/PySpark, Apache Airflow, Pandas/Numpy (experience)
- Experience with infrastructure test automation and CI/CD workflows (experience)
- Experience with data visualization (experience)
- Familiarity with cloud-based infrastructure such as AWS (experience)
- Practical experience with SQL and NoSQL databases (MySQL, Postgres, MongoDB, etc) (experience)
- Quality driven, detail oriented, with excellent interpersonal skills (experience)
Responsibilities
- This role is essential to enabling Health Algorithms research by ensuring high quality data at scale. You will be collaborating with multi-functional teams such as the data engineering, data science, algorithms, design, operations and QA teams to test, validate and monitor data platforms and the data flowing through them. To do that, you will need to design, develop and maintain/own software services and test automation frameworks. Your work will have direct and essential impact to future Apple products.
- Core responsibilities: Design, own and maintain scalable and robust test automation frameworks, create services and tools for testing and monitoring of data processing infrastructure and of data monitoring reports. Provide feedback and reporting on data pipelines and inform partnering teams of issues or progress. Test the functionality and accuracy of data pipelines and data monitoring tools by leveraging Python and Spark. Understand complex software and data processing systems and be able to break the systems down into smaller components in order to deep dive into the implementation to ensure robust and reliable data processing produces the highest quality of data.
Tags & Categories
Answer 10 quick questions to check your fit for Health Systems Data Quality Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs