Business Intelligence Data Engineer, Retail Customer Care

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.

In this role, you will be part of the Global Business Operations team, with a particular focus on Retail Contact Center performance and decision support. This position will have a direct role in shaping the data and reporting infrastructure of the Retail Customer Care organisation. The role requires understanding of data architecture, data engineering and advanced Tableau skillsets to develop and own reporting for contact center performance metrics and analytics. The successful candidate will be responsible for building and managing data pipelines and tableau solutions to deliver efficient analytical and reporting capabilities.

Work as Individual contributor with comprehensive understanding of data architecture, Extract, Transform & Load (ETL) processes and data visualisation best practices. Have full ownership of developing, enhancing and maintaining data pipelines, Tableau Datasources and their schedules along with strong understanding of database concepts and SQL/Snowflake

• Develop highly scalable data pipelines & data structures to ingest and process data from multiple source systems, leveraging Stored procedures, Apache Airflow for workflow orchestration, scheduling, and monitoring
• Architect generic, reusable solutions that adhere to data warehousing best practices while addressing complex business requirements
• Analyze and optimize existing data pipelines and tableau solutions, providing enhancements and ongoing support as needed
• Uphold the highest standards of data integrity, ensuring reliable and accurate outputs

Working closely with stakeholders to understand and translate complex business requirements into scalable technical solutions meeting data warehousing and Tableau solutioning design standards