Software Engineer, Big Data Apple Services Engineering
Job Location:
Job Location:
Seattle, WA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
4 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
The Apple Services Engineering team is one of the most exciting examples of Apples long-held passion for combining art and technology. This team powers the App Store Apple TV Apple Music Apple Podcasts and Apple Books operating at massive scale and meeting Apples high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems frameworks and platforms using big data technologies.n
As a team member of the ASE Analytics u0026 Data Engineering team you will have significant responsibility and influence in shaping the teams future direction. This role is inherently cross-functional and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline position involves working on a small highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. n
You will have the opportunity to:nnWork with a cross-functional team collaborating with partners across product engineering operations and business and closely partner with stakeholders to translate requirements into scalable engineering solutionsnHelp drive architectural vision to support future growth and opportunitiesnDesign build and maintain data pipelines and datasets that power key product features and insights while protecting user privacynOwn data quality scalability and SLAs for assigned datasets and pipelinesnChampion technical excellence and cultivate team spirit by contributing to best practices documentation shared tools and solutions to common problemsn
Bachelors or Masters degree in Computer Science Statistics a related quantitative field or equivalent practical experiencen6 years of experience building production systems using Java and/or Scala with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming understanding of distributed batch and streaming data processing systems such as Spark Flink and KafkanExperience with big data ecosystem technologies such as HDFS Hadoop S3 MPP database Kubernetes and track record of designing launching and scaling production-quality data pipelines that power product featuresnStrong data intuition backed by solid SQL and data analysis skillsnExperience with GDPR compliance and best practices for collecting processing and sharing data responsiblyn
Excellent collaboration and communication skills with the ability to listen influence and drive solutions cohesively
As a team member of the ASE Analytics u0026 Data Engineering team you will have significant responsibility and influence in shaping the teams future direction. This role is inherently cross-functional and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline position involves working on a small highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. n
You will have the opportunity to:nnWork with a cross-functional team collaborating with partners across product engineering operations and business and closely partner with stakeholders to translate requirements into scalable engineering solutionsnHelp drive architectural vision to support future growth and opportunitiesnDesign build and maintain data pipelines and datasets that power key product features and insights while protecting user privacynOwn data quality scalability and SLAs for assigned datasets and pipelinesnChampion technical excellence and cultivate team spirit by contributing to best practices documentation shared tools and solutions to common problemsn
Bachelors or Masters degree in Computer Science Statistics a related quantitative field or equivalent practical experiencen6 years of experience building production systems using Java and/or Scala with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming understanding of distributed batch and streaming data processing systems such as Spark Flink and KafkanExperience with big data ecosystem technologies such as HDFS Hadoop S3 MPP database Kubernetes and track record of designing launching and scaling production-quality data pipelines that power product featuresnStrong data intuition backed by solid SQL and data analysis skillsnExperience with GDPR compliance and best practices for collecting processing and sharing data responsiblyn
Excellent collaboration and communication skills with the ability to listen influence and drive solutions cohesively
Required Experience:
IC
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
