Software Engineer - Big Data Engineering
Software and Services
+ 3+ years of proficiency in Scala and functional programming paradigms, or other object-oriented languages like Java
+ Strong computer science fundamentals with proven problem solving skills
+ Deep understanding of distributed batch and streaming data processing systems like Spark/Kafka
+ Experience with technologies in big data ecosystem such as Kubernetes, Airflow
+ Proven track record designing, launching and scaling production quality data pipelines which drive product features
+ Keen data sense backed by strong SQL, and data visualization skills
+ Experience with GDPR compliance and techniques in collecting and sharing data
+ Strong collaboration and communication skills to be able to listen, influence and drive solutions cohesively
As a team member of the AMP Data Engineering team, you will have significant responsibility and influence in shaping its future direction. This role is inherently multi-functional and the ideal candidate will work across fields. We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipeline. This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication, as well as, a belief that data driven processes lead to phenomenal products. You will need to have a passion for quality and an ability to understand sophisticated systems. You Will Have The Opportunity To: - Work with a multi-functional team collaborating with several partners across product, engineering, operations and business; and closely partner with collaborators to translate requirements to scalable engineering solutions - Help drive architectural vision to be ready for future opportunities - Design, build and maintain data pipelines and data sets serving key product features and insights protecting user privacy - Own data quality, scalability and SLAs for the allocated datasets and pipelines - Be a champion for technical excellence, and cultivate team spirit by contributing to standard methodologies, documentation, shared tools and solutions to common problems
Education & Experience
Bachelors or Master's degree in computer science, statistics, similar quantitative field, or equivalent experience. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .
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