Data Engineer - Retail Business Intelligence
Austin, Texas, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Oct 24, 2024Role Number:200569202
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. 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. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. Do you love problem solving and thinking beyond an obvious solution? Are you passionate about data accuracy and improving operational efficiency by managing complex data and information delivery? We are! Our Retail Business Intelligence (RBI) function within ASO is focused on building the data infrastructure used broadly across our organization. As a Data Engineer, you will be responsible for defining, developing, and maintaining easy-to-query certified datasets, data pipelines and reporting tools. You will gain SME knowledge, collaborating closely with IT and downstream customers to optimize data collection and delivery.
Description
As a Data Engineer on the RBI team, you will play a pivotal role in leveraging your understanding of data, including attributes, measures, and KPIs, to accurately measure and evaluate our business initiatives. Collaborating closely with peers and global cross-functional business partners, you will be instrumental in addressing their data and reporting needs. Your expertise will be instrumental in designing, building, testing, and deploying robust reporting solutions that empower our customers to make data-driven decisions. In this role, you will: - Dive deep into data, and help solve complex business problems - Support testing of data pipelines and integrated metrics and attributes - Collaborate with engineering teams to develop, enrich, and troubleshoot data objects - Develop, define and document analytic assets - Partner with cross-functional teams for consultation, training, and support of analytical tools and datasets
Minimum Qualifications
- 3+ years of SQL experience
- Understanding of enterprise semantic layer (ESL) development for relational databases like Snowflake/Teradata
- Experience with data validation across multiple sources
- Experience with data visualization tools (e.g.: Tableau)
- BA/BS in Information Technology, Mathematics, Computer Science, or a minimum of 4 years of directly relatable experience
Preferred Qualifications
- Ability to deal with ambiguity; find flexible creative solutions
- Skilled in supporting multiple deadline-specific projects simultaneously while maintaining day-to-day business support
- Desire to build effective relationships in a multi-functional team environment
- Experience in large enterprise cross-functional projects (including writing pseudocode requirements, performing testing/validation against requirements)
- Experience with data visualization tools (e.g.: Tableau)
- Familiarity with Finance, Operations, or Retail Contact Center data
- Knowledge of one or more scripting language like PHP or Python
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data pipelines Data visualization Engineering Finance KPIs Mathematics PHP Pipelines Python RDBMS Snowflake SQL Tableau Teradata Testing
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