Analytics Data Engineer Siri AI Quality Engineering
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Siri Quality Engineering team is seeking an Analytics Data Engineer to build a Curated Accurate Reliable data lake a governed lakehouse with point-in-time and near-real-time pipelines and a clear semantic layer so teams trust and use data to help drive operational and business decisions. You will ultimately be part of a collaborative team thats responsible for understanding how well our products work advocating for critical changes and representing how theyll be experienced by our customers. We deliver descriptive diagnostic prescriptive and predictive analytics that show whats happening explain why recommend what to do and empower decision making automation. We publish certified metrics and models used in executive-facing reports raising product quality accelerating releases and reducing risk across all Apple platforms and locales. As a member of our passionate group in Siri you will have the unique and rewarding opportunity to shape and improve our products to delight and inspire millions of Apples customers every day.
- 5 years in data engineering; expert SQL and Python knowledge
- Deep Spark experience (batch structured streaming)
- Hands-on experience with a modern data lake technology: Iceberg or equivalent of object storage
- Proven pipeline orchestration (Airflow or equivalent) and Git-based delivery
- Strong data modeling governance lineage and reliability practices
- Spark Streaming Kafka Flink or similar streaming; near-real-time analytics
- Data-quality frameworks and observability
- Experience with feature stores and ML data pipelines
- BS/MS in an engineering or a related field (or equivalent)
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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