Data Engineer

SummaryPosted: Role Number:200582575Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.DescriptionAPPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Interact with business and internal teams to understand the business context and analytical ask, build rapid prototypes, solicit feedback and iterate as needed. Create data platforms and ecosystems to support scale and agility needed for Apple analytical use cases. Provide cutting-edge analytics to support business and executive decision-making, using DataRobot, custom Python scripts, and Apple internal tools. Design, develop, deploy and manage data architecture and data analytics platform using a combination of AWS S3, redshift, DynamoDB, Snowflake, Glue, Kinesis, and SinglestoreDB. Evaluate new technology and products and iterate quickly newer capability through proof-of-concept engagements. Identify data needs, consumption needs and define work packages through collaboration with multi-functional teams. Develop ETL frameworks, real-time data processing solutions for data acquisition needs using KAFKA, Kinesis or similar tools. Use Tableau, ThoughtSpot and/or Business Objects to create dashboards, visualization and data feeds as needed to support business teams across supply chain and across multiple channels – online, retail, reseller. Understand complex business requirements and render them as prototype systems with quick turnaround time. Partner with other Apple organizations on data governance, reporting tools, hierarchy management and KPI’s. Work with teams on enhancing performance and scalability of databases and reporting tools through use of appropriate techniques in queries. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $146,830 - $188,100/yr and your base pay will depend on your skills, qualifications, experience, and location.PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.Minimum QualificationsMaster’s degree or foreign equivalent in Business Analytics and Project Management, Computer Science, Statistics, Machine Learning or related field and 5 years of experience in the job offered or related occupation.2 years of experience with each of the following skills is required:Designing, developing, and managing insightful dashboards using Tableau to facilitate data and analytics requirements for Supply, Demand, Sales, and Operational aspects of businessCreating, developing, implementing, and managing data architecture and analytics platforms to meet data and analytics requirements for Supply, Demand, Sales, and Operational aspects of businessDeveloping ETL frameworks and real-time data processing solutions for data acquisition needs using KAFKA, Kinesis, Alteryx, Python, or Snowflake SQLUsing knowledge of complex business requirements to build prototype systems with rapid turnaround timeEvaluating new technology options to enable faster data processing, storage, and retrieval and conducting Proof of Concept (POC) using the same to upscale the analytics platformUsing cloud technologies, such as Snowflake or AWS S3, to build robust analytics platforms supporting data analytical needs for Supply, Demand, Sales, and Operational aspects of businessStreamlining data processes and providing data-driven insights with automated solutions using advanced analytics tools such as Python or AlteryxDemonstrating analytics lifecycle experience in converting and interpreting business issues and deploying the analytical outputsPreferred QualificationsN/AApple 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.