Apple's SWE (Software) Data Analysis Team Collects, Processes, And Analyzes Analytics And Usage Data From Apple Devices Around The World. We Use A Research And Evaluation Process To Generate Data That Advises And Drives Product Strategy Across Apple's Software And Hardware Development. We Discuss, Analyze, And Implement Revolutionary Solutions For The Problems Of Statistics And Distributed Computing And Are Looking To Expand Our Team With An Engineer Interested In Big Data Projects Big Data! Kafka, Flume, Hadoop, Spark, And Other New Technologies Are The Core Of Our Extensive Infrastructure.
You Will Collaborate With Data Analysts, Device Engineers, And Various Engineering Teams And Promote The Development Of High-Capacity Data Pipelines And Projects.
The Right To Head
- Experience In Developing Distributed Computing Systems Is Extensive.
- Deep Knowledge And Experience With One Or More Distributed Technologies, Including Hadoop Ecosystem, Kafka, Samza, Flink, Storm, Flume, HBase, Cassandra, Redshift, Vertica, and Spark.
- Interest In And Understanding Of Basic Algorithms And Tools For Creating Advanced Data Processing Systems.
- Proficiency In Linux Or Other POSIX Operating Systems, Shell Scripting, And Networking Technologies.
- Troubleshooting And Debugging Skills With Experience In One Or More Of The Following Languages: Java, Python, Scala, Go, Or Ruby.
- There Is A Lot Of Communication Involved! Good Interpersonal Skills Are Valued.
Explanation
As A Member Of Our Team Of Skilled Data Engineers, You Will Be Responsible For The Design, Development, And Maintenance Of Our ETL Pipeline, Security And Large Scale Projects. You Will Develop Personal Performance Analysis Tools To Help Engineering Teams Derive Actionable Metrics From Large Amounts Of Raw Data. You Will Work With Data Science And Engineering Teams And Develop Algorithms To Answer Complex Questions About Using Apple Products. You Will Work Closely With The Devops Team And Develop Monitoring And Evaluation Scripts For Various Data Pipelines And Projects. You Will Have The Opportunity To Learn And Work With The Latest Big Data Technologies, Lead POCs to Demonstrate New Insights, And Influence The Strategic Direction Of Our Technology Portfolio.
Academic Experience
- Bachelor's Degree In Computer Science Or Equivalent Experience
Other Requirements
- Experience Using Database Technologies Such As Apache Parquet Or Avro. Experience With Machine Learning Algorithms Is A Plus.
- Test Tools And Techniques For Testing Large-Scale Distributed Computing Systems.
- Experience In Data Processing And Developing SQL Database Solutions Is A Plus. - Certified Software Engineer With Domain Experience In Design, Testing, Source Code Management And CI/CD Practices.
Job Benefits:
- Health And Wellness: Apple Offers A Comprehensive Health Insurance Plan, Including Medical, Dental, And Vision Insurance For Employees And Their Families. They Can Also Provide Support For Mental Health And Wellness Programs.
- Retirement Plans: Apple Often Offers A 401(K) Plan And Company Contributions To Help Employees Save For Retirement.
- Stock Options And Employee Purchase Plans (ESPP): Employees May Have The Opportunity To Participate In A Stock Option Plan Or ESPP Program, Which Allows You To Invest In Apple Shares At A Discounted Price.
- Time Off: Apple Provides Time Off For Holidays, Vacations, And Sick Time, Allowing Employees To Balance Work And Personal Life.
- User Discounts: Apple Users Are Entitled To Discounts On Apple Products, As Well As Discounts From Other Partner Companies.
- Benefits For Travelers: Select Apple Stores Offer A Travel Assistance Program, Which May Include Pre-Tax Travel Expenses Or Public Transit Passes.
- Parental Leave: Apple Is Known For Mandating Parental Leave For New Parents, Including Maternity And Paternity Leave.
- Educational Assistance: Apple May Provide Employees Who Wish To Further Their Education Or Receive Necessary Professional Development Courses
- Employee Assistance Program (EAP): Apple Often Offers EAP Services, Providing Resources And Support For Users Facing Personal Or Professional Challenges.
- On-Site Offices: Select Apple Offices With Amenities Such As Gyms, Bars, And Entertainment Centers To Enhance Employee Well-Being.
Big Data Platform Engineer
Bachelor Degree

2
Bachelor Degree