Software Data Engineer, Data Science and Analytics
2 months ago
About the Role
We are seeking a highly skilled Software Data Engineer to join our App Store Data Engineering team at Apple. As a key member of this team, you will play a critical role in shaping the strategic direction of our data engineering efforts.
Key Responsibilities
- Design and develop scalable, high-performance data processing applications using Apache Spark or Apache Flink.
- Collaborate with cross-functional teams to deliver data-driven insights and solutions that drive business growth and innovation.
- Develop and maintain large-scale data pipelines and architectures using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
- Work closely with data scientists and analysts to develop and deploy data products that meet the needs of internal stakeholders and external partners.
Requirements
- 5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
- 5+ years of programming experience in Scala (preferred) or Java.
- Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
- Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
Preferred Qualifications
- Good understanding of software engineering principles and fundamentals including algorithms and data structures.
- Self-directed, self-motivated and ability to create architecture and design documents.
- Ability to capture cross-functional requirements and translate them into practical engineering tasks.
- Excellent communication skills and proven ability to work in a cross-functional environment.
- Understanding of functional programming ideas and principles.
What We Offer
- Competitive base pay and discretionary bonuses or commission payments.
- Comprehensive medical and dental coverage.
- Retirement benefits.
- Range of discounted products and free services.
- Reimbursement for certain educational expenses.
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