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Data Engineer, Apple Media Products - Experimentation

Apple, Inc.
United States, Washington, Seattle
July 19, 2022
Summary Posted: Mar 29, 2022 Weekly Hours: 40 Role Number: 200361136 The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire world. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Apple Media Products data engineering team provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Data Pipeline Engineer who can automate and build data pipelines to support Experimentation across our search and recommendations features. Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Key Qualifications 3-5+ years' demonstrated experience with Big Data systems, ETL, data processing, and analytics tools. Proven experience working on big data systems and distributed computing, such as Hadoop and Spark. Proficiency in using query languages like SQL, Hive and SparkSQL. Experience with entity-relationship modeling and understanding of normalization. Experience with sessionization of clickstream and time-series data is a plus. Familiar with the concepts of dimensional modeling. Experience maintaining a large software system and writing a test suite. Experience with Continuous Integration, Version Control such as git. Experience with programming languages such as Scala, Spark or Python. Experience with data visualization tools, such as GGplot, etc. Deep understanding of data structures and common methods in data transformation. Keep up-to-date with the newest technology trends. Description This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets. ADDITIONAL EXPECTATIONS OF THIS ROLE INCLUDE: Working with software engineering teams to improve data collection procedures. Processing, cleansing, and validating the integrity of data used for analysis. Engineer code that is durable and reliable. Performance tune and optimize code as data grows and needs change. Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams. Showcase real passion for visualizing and making sense of data analysis. Education & Experience Bachelor's Degree in Computer Science or related field Additional Requirements