Software Engineer - Full Stack
Apple
Software Engineer - Full Stack
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As a Software Engineer, you are an integral part of a small data-centric team driving large-scale data infrastructure and processes development, implementation, and improvement. Our organization thrives on collaborative partnerships. Join and play a key role in developing and driving the adoption of Data Mesh and data-centric micro-services. Apple's Manufacturing Systems and Infrastructure (MSI) team is responsible for capturing, consolidating and tracking all manufacturing data for Apple’s products and modules worldwide. Our tools enable teams to confidently use data to shape the next generation of product manufacturing at Apple. We seek a practitioner with experience building large-scale data platforms, analytic tools, and solutions. If you are passionate about making data easily accessible, trusted, and available across the entire business at scale, we'd love to hear from you. As a Software Engineer, you will work closely with cross-functional teams to understand business requirements, design scalable solutions, and ensure the integrity and availability of our data. The ideal candidate will have a deep understanding of cloud technologies, UI technologies, software engineering best practices, and a proven track record of successfully delivering complex projects. - Lead the design and implementation of cloud-based data architectures. - Collaborate with data scientists, analysts, and business stakeholders to understand requirements. - Stay current with industry trends and emerging technologies in cloud engineering.
Locations
- Bengaluru, Karnataka, India 560001
Salary
Skills Required
- software engineeringintermediate
- data infrastructure developmentintermediate
- data processes developmentintermediate
- data processes implementationintermediate
- data processes improvementintermediate
- collaborative partnershipsintermediate
- developing Data Meshintermediate
- driving adoption of Data Meshintermediate
- data-centric micro-servicesintermediate
- capturing manufacturing dataintermediate
- consolidating manufacturing dataintermediate
- tracking manufacturing dataintermediate
- building large-scale data platformsintermediate
- building analytic toolsintermediate
- building solutionsintermediate
- making data accessibleintermediate
- ensuring data trustedintermediate
- ensuring data available at scaleintermediate
- understanding business requirementsintermediate
- designing scalable solutionsintermediate
- ensuring data integrityintermediate
- ensuring data availabilityintermediate
- cloud technologiesintermediate
- UI technologiesintermediate
- software engineering best practicesintermediate
- delivering complex projectsintermediate
- designing cloud-based data architecturesintermediate
- implementing cloud-based data architecturesintermediate
- collaborating with data scientistsintermediate
- collaborating with analystsintermediate
- collaborating with business stakeholdersintermediate
- staying current with industry trendsintermediate
- emerging technologies in cloud engineeringintermediate
Required Qualifications
- Bachelor's degree in computer science or equivalent field with of 2-7 years of hands-on programming experience (experience, 7 years)
- Proven experience as a Full Stack engineer, with a focus on cloud platforms (experience)
- Strong proficiency in cloud services such as AWS, Azure, or Google Cloud (experience)
- Expertise in building UI and data integration services (experience)
- Proficient in programming languages such as Python, Java, Scala, GoLang, JavaScript (experience)
- Knowledge of data warehouse solutions (Redshift, BigQuery, Snowflake, Druid) (experience)
- Experience with streaming UI technologies (experience)
- Experience building data streaming solutions using Apache Spark, Storm, Link, Flume (experience)
Preferred Qualifications
- Certification in cloud platforms (certification)
- Knowledge of machine learning and data science concepts (experience)
- Contributions to the open source community (experience)
Responsibilities
- As a Software Engineer, you will work closely with cross-functional teams to understand business requirements, design scalable solutions, and ensure the integrity and availability of our data. The ideal candidate will have a deep understanding of cloud technologies, UI technologies, software engineering best practices, and a proven track record of successfully delivering complex projects.
- - Lead the design and implementation of cloud-based data architectures.
- - Collaborate with data scientists, analysts, and business stakeholders to understand requirements.
- - Stay current with industry trends and emerging technologies in cloud engineering.
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Software Engineer - Full Stack
Apple
Software Engineer - Full Stack
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As a Software Engineer, you are an integral part of a small data-centric team driving large-scale data infrastructure and processes development, implementation, and improvement. Our organization thrives on collaborative partnerships. Join and play a key role in developing and driving the adoption of Data Mesh and data-centric micro-services. Apple's Manufacturing Systems and Infrastructure (MSI) team is responsible for capturing, consolidating and tracking all manufacturing data for Apple’s products and modules worldwide. Our tools enable teams to confidently use data to shape the next generation of product manufacturing at Apple. We seek a practitioner with experience building large-scale data platforms, analytic tools, and solutions. If you are passionate about making data easily accessible, trusted, and available across the entire business at scale, we'd love to hear from you. As a Software Engineer, you will work closely with cross-functional teams to understand business requirements, design scalable solutions, and ensure the integrity and availability of our data. The ideal candidate will have a deep understanding of cloud technologies, UI technologies, software engineering best practices, and a proven track record of successfully delivering complex projects. - Lead the design and implementation of cloud-based data architectures. - Collaborate with data scientists, analysts, and business stakeholders to understand requirements. - Stay current with industry trends and emerging technologies in cloud engineering.
Locations
- Bengaluru, Karnataka, India 560001
Salary
Skills Required
- software engineeringintermediate
- data infrastructure developmentintermediate
- data processes developmentintermediate
- data processes implementationintermediate
- data processes improvementintermediate
- collaborative partnershipsintermediate
- developing Data Meshintermediate
- driving adoption of Data Meshintermediate
- data-centric micro-servicesintermediate
- capturing manufacturing dataintermediate
- consolidating manufacturing dataintermediate
- tracking manufacturing dataintermediate
- building large-scale data platformsintermediate
- building analytic toolsintermediate
- building solutionsintermediate
- making data accessibleintermediate
- ensuring data trustedintermediate
- ensuring data available at scaleintermediate
- understanding business requirementsintermediate
- designing scalable solutionsintermediate
- ensuring data integrityintermediate
- ensuring data availabilityintermediate
- cloud technologiesintermediate
- UI technologiesintermediate
- software engineering best practicesintermediate
- delivering complex projectsintermediate
- designing cloud-based data architecturesintermediate
- implementing cloud-based data architecturesintermediate
- collaborating with data scientistsintermediate
- collaborating with analystsintermediate
- collaborating with business stakeholdersintermediate
- staying current with industry trendsintermediate
- emerging technologies in cloud engineeringintermediate
Required Qualifications
- Bachelor's degree in computer science or equivalent field with of 2-7 years of hands-on programming experience (experience, 7 years)
- Proven experience as a Full Stack engineer, with a focus on cloud platforms (experience)
- Strong proficiency in cloud services such as AWS, Azure, or Google Cloud (experience)
- Expertise in building UI and data integration services (experience)
- Proficient in programming languages such as Python, Java, Scala, GoLang, JavaScript (experience)
- Knowledge of data warehouse solutions (Redshift, BigQuery, Snowflake, Druid) (experience)
- Experience with streaming UI technologies (experience)
- Experience building data streaming solutions using Apache Spark, Storm, Link, Flume (experience)
Preferred Qualifications
- Certification in cloud platforms (certification)
- Knowledge of machine learning and data science concepts (experience)
- Contributions to the open source community (experience)
Responsibilities
- As a Software Engineer, you will work closely with cross-functional teams to understand business requirements, design scalable solutions, and ensure the integrity and availability of our data. The ideal candidate will have a deep understanding of cloud technologies, UI technologies, software engineering best practices, and a proven track record of successfully delivering complex projects.
- - Lead the design and implementation of cloud-based data architectures.
- - Collaborate with data scientists, analysts, and business stakeholders to understand requirements.
- - Stay current with industry trends and emerging technologies in cloud engineering.
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer - Full Stack @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs