Data Engineer
Apple
Data Engineer
Job Description
Do you love crafting elegant solutions to highly complex challenges. Do you intrinsically see the importance in every detail. As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless. As a member of the Apple Silicon Technology group, you will collaborate in the design, creation, and enhancement of our data infrastructure, which underpins the productization of our semiconductors across iPhone, iPad, Mac, and numerous other devices. We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between software engineering and data engineering, constructing robust data pipelines, analytics platforms, and data-driven applications that empower our organization to derive valuable insights from extensive datasets. Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high-performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
- San Diego, California, United States 92128
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 data architecturesintermediate
- developing and maintaining software systemsintermediate
- constructing robust data pipelinesintermediate
- building analytics platformsintermediate
- developing data-driven applicationsintermediate
- optimizing data processing workflowsintermediate
- ensuring data quality and governanceintermediate
- software engineeringintermediate
- data engineeringintermediate
- collaboration with data scientistsintermediate
- collaboration with analystsintermediate
- collaboration with product teamsintermediate
Required Qualifications
- Bachelors Degree plus 3 years of relevant experience (experience, 3 years)
- (Degree in Computer Science, Software Engineering, or a related) (degree in computer science)
Preferred Qualifications
- Three or more years of experience in software development, with a specific focus on data systems (experience)
- Proficiency in Python programming language (experience)
- Experience with Oracle SQL and database design principles (experience)
- Experience with Linux operating systems (experience)
- Proficiency in version control systems (Git) (experience)
- Strong problem-solving and analytical abilities (experience)
- Excellent communication and collaboration skills (experience)
- Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments (experience)
- Master’s degree in computer science, data engineering, or a related field (degree in computer science)
- 5+ years of experience in data engineering or data-focused software development (experience, 5 years)
- Experience with Cassandra NoSQL database (experience)
- Familiarity with machine learning workflows and machine learning operations (MLOps) practices (experience)
- Experience with data visualization tools and business intelligence platforms (experience)
Responsibilities
- Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high-performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.
- Design and implement scalable data pipelines and processing systems
- Parse and process text logs and STDF
- Develop and optimize database performance and query efficiency
- Implement data quality monitoring and validation frameworks
- Collaborate with data scientists to productize machine learning models
- Monitor system performance and troubleshoot data infrastructure issues
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer @ Apple.
10 Questions
~2 Minutes
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Data Engineer
Apple
Data Engineer
Job Description
Do you love crafting elegant solutions to highly complex challenges. Do you intrinsically see the importance in every detail. As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless. As a member of the Apple Silicon Technology group, you will collaborate in the design, creation, and enhancement of our data infrastructure, which underpins the productization of our semiconductors across iPhone, iPad, Mac, and numerous other devices. We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between software engineering and data engineering, constructing robust data pipelines, analytics platforms, and data-driven applications that empower our organization to derive valuable insights from extensive datasets. Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high-performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
- San Diego, California, United States 92128
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 data architecturesintermediate
- developing and maintaining software systemsintermediate
- constructing robust data pipelinesintermediate
- building analytics platformsintermediate
- developing data-driven applicationsintermediate
- optimizing data processing workflowsintermediate
- ensuring data quality and governanceintermediate
- software engineeringintermediate
- data engineeringintermediate
- collaboration with data scientistsintermediate
- collaboration with analystsintermediate
- collaboration with product teamsintermediate
Required Qualifications
- Bachelors Degree plus 3 years of relevant experience (experience, 3 years)
- (Degree in Computer Science, Software Engineering, or a related) (degree in computer science)
Preferred Qualifications
- Three or more years of experience in software development, with a specific focus on data systems (experience)
- Proficiency in Python programming language (experience)
- Experience with Oracle SQL and database design principles (experience)
- Experience with Linux operating systems (experience)
- Proficiency in version control systems (Git) (experience)
- Strong problem-solving and analytical abilities (experience)
- Excellent communication and collaboration skills (experience)
- Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments (experience)
- Master’s degree in computer science, data engineering, or a related field (degree in computer science)
- 5+ years of experience in data engineering or data-focused software development (experience, 5 years)
- Experience with Cassandra NoSQL database (experience)
- Familiarity with machine learning workflows and machine learning operations (MLOps) practices (experience)
- Experience with data visualization tools and business intelligence platforms (experience)
Responsibilities
- Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high-performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.
- Design and implement scalable data pipelines and processing systems
- Parse and process text logs and STDF
- Develop and optimize database performance and query efficiency
- Implement data quality monitoring and validation frameworks
- Collaborate with data scientists to productize machine learning models
- Monitor system performance and troubleshoot data infrastructure issues
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs