Data Engineer
Design and build cloud-based data warehouses to deliver efficient analytical and reporting capabilities for Apple’s global and regional sales and finance teams.
Develop highly scalable data pipelines to ingest and process data from multiple source systems, leveraging 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 systems, providing enhancements and ongoing support as needed.
Uphold the highest standards of data integrity and software quality, ensuring reliable and accurate outputs.
Minimum Qualifications
3+ years of professional experience in data modeling, pipeline development, and software engineering
Proficiency in dimensional modeling and data warehouse architecture
Hands-on experience with both relational and NoSQL database systems
Working knowledge of Linux environments with scripting capabilities in Python and SQL
Thorough understanding of OLTP and OLAP systems
Preferred Qualifications
Hands-on experience with big data technologies (Kafka, Spark, Flink, Hive, etc.)
Practical knowledge of cloud data services (AWS, Ali Cloud, or equivalent platforms)
Demonstrated ability to analyze business requirements and deliver data-driven solutions
Familiarity with AI tools and LLM integration, with a preference for candidates who have used Generative AI to empower data engineering workflows
Excellent written and verbal communication skills with strong problem-solving abilities
A Bachelor’s or equivalent experience or Master’s degree in Computer Science, Computer Engineering, or a related technical field—or equivalent practical experience.