Business Intelligence Data Engineer, Retail Customer Care

Business Intelligence Data Engineer, Retail Customer Care

Summary

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.

Description

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
- Occasional meetings with peers and cross-functional teams in Americas, EMEIA and APAC during overlapping business hours.

Preferred Qualifications

7+ years of professional experience in operations, analytics, management consulting, corporate strategy, or equivalent experience
Bachelor’s degree in Computer Science, mathematics, statistics, economics or other quantitative area, Master Degree a plus
Strong knowledge Tableau is preferred
Strong work ethic and attention to detail. Ability to balance multiple projects and meet timelines.
Ability to stay positive in high stress situations and multitask in a dynamic environment.
Experience in Snowflake AI and Tableau AI is preferred

Minimum Qualifications

5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines, scheduling jobs and Tableau reporting solutions
Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting. Hands-on experience on Apache Spark, Apache Airflow and stored procedures
Excellent knowledge of database concepts and extensive hands-on experience working with Snowflake, Hadoop and experience optimising SQL queries on large data
Excellent knowledge of Python programming
Effective presentation and communication skills, including ability to explain complex data and charts in a concise manner to large cross-functional audiences
Proven problem-solving and cross-functional project work experience

Experience Level

Senior Level