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Apple Sales - Software Engineer Data AI Enablement Hub Singapore 764349715
Yesterday
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You’ll design and build core components of our internal data platform, spanning ingestion pipelines, semantic layers, and metadata systems. You’ll help bridge open source technologies (e.g., Kafka, Spark, Iceberg) with our internal ecosystem—shaping how teams discover, use, and trust data for analytics and AI workloads.You’ll collaborate with other engineers, product managers, program managers, and end users to understand data needs and evolve platform capabilities that improve scale, quality, and usability. This is a hands-on engineering role focused on systems thinking, technical craftsmanship, and delivering tools that unlock real business value.Key Responsibilities
- 4+ years of experience building distributed data applications or cloud-native platforms
- Proficiency in Python, Scala, or Java, with experience developing scalable and maintainable systems
- Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery)
- Experience with modern data infrastructure tools (e.g., Spark, Kafka, Airflow, Iceberg)
- Understanding of BI and analytics needs, and experience building for internal business use cases
- Experience designing and building cloud-based applications, APIs, and data services
- Familiarity with AI/ML pipeline enablement (e.g., feature engineering, real-time pipelines, metadata)
- Experience with Kubernetes, distributed compute frameworks, or containerized environments
- Hands-on experience integrating with business intelligence or visualization tools (e.g., Streamlit, Tableau, Looker)
- Exposure to anomaly detection, forecasting, or GenAI use cases and the data requirements they demand
- Experience working in global teams or serving as a technical contributor in a regional hub
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