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• Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems
• Familiarity with data governance, data quality frameworks, or metadata management concepts
• MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
• 5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale
• Strong proficiency with SQL and proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets
• Advanced proficiency with Python or similar languages, and experience with distributed computing frameworks (e.g., Spark) for complex data manipulation and analytics
• Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting
• Exceptional written and verbal communication skills, with the ability to translate complex data concepts for diverse audiences including product, business, and engineering stakeholders
• Strong time management skills with the ability to balance multiple projects with competing priorities
• BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
Are you ready to make a significant impact at the intersection of data engineering and iCloud analytics within Apple? If you are passionate about building robust data pipelines, crafting complex data models, and enabling compelling, data-driven insights at scale, we would love for you to apply! The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy.
Description
We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking - we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.
• As a Data Engineer on the Services Data Science & Analytics iCloud Insights Engineering team, you will work with massive internet-scale iCloud data across numerous product and customer touchpoints.
• You will heavily contribute to and maintain the data infrastructure that powers iCloud insights - building and optimizing pipelines, designing data models, and ensuring that both DS&A and stakeholder teams have reliable, high-quality data to drive business decisions.
• A great fit for this role communicates and collaborates well across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.
• You will partner closely with insights engineering and data science peers to understand requirements and translate them into scalable data solutions, improving the automation and reliability of core iCloud data workflows.
• Your work will involve building systems that surface patterns across iCloud storage, subscription, engagement, and commerce data - ensuring consistent, accurate reporting across the organization.
• Over time, you will help shape how iCloud data is structured, governed, and delivered, improving the quality, coverage, and efficiency of our analytical data ecosystem.
Work at office
Full time
Austin, TX
Applications for this job are handled on the company's own website.
এই চাকরির জন্য বিজ্ঞাপনদাতা ব্যক্তি/প্রতিষ্ঠান আপনার কাছ থেকে কোন অর্থ চাইলে কিংবা নিয়োগ প্রক্রিয়া চলাকালীন কোন প্রকার হয়রানিমূলক (শারীরিক/মানসিক) আচরণ করলে অতিসত্বর আমাদেরকে জানান অথবা জবটি রিপোর্ট করুন। চাকরি পাওয়ার জন্য কোন ব্যক্তি/প্রতিষ্ঠানকে অর্থ প্রদান করবেন না। চাকরিকালীন কোন প্রকার হয়রানির (শারীরিক/মানসিক) সম্ভাবনা থাকলে সেখানে জয়েন করবেন না। কোন প্রকার অর্থ লেনদেন বা নিয়োগদাতা কর্তৃক হয়রানির দায়িত্ব Chakrie বহন করবে না।
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