Data Engineer, ANZSA
Core
Design, develop, and implement scalable data engineering solutions for Apple's ANZSA Channel Sales team to enable informed decision-making, automate sales processes, and support AI/ML initiatives.
Role type
Senior IC Data Engineer (Sales Analytics & Infrastructure)
Builds
Scalable data pipelines, data models, semantic layers, and AI/ML-ready datasets for sales operations.
Domain
Retail Sales / Cloud Data Engineering / AI/ML Data Infrastructure
Deliverable
production ML models
Required skills
Cloud data platforms (Snowflake, Dremio, Redshift, Databricks), ETL/ELT pipeline architecture, SQL, Python, Java, R, Data modeling, Data warehousing, Secrets management, Data governance, CI/CD, Containerization, API development, Unstructured data processing, Data validation & reconciliation, Semantic layer design, AI/ML data lifecycle management.
Preferred skills
End-to-end project leadership, Strategic goal alignment, Cross-functional collaboration, Innovative problem solving, Technical documentation, Business-to-data translation.
Technologies
Snowflake, Dremio, Redshift, Databricks, SQL, Python, Java, R, Docker/Kubernetes, CI/CD tools, API frameworks.
Responsibilities
Design and build scalable data integration pipelines for structured and unstructured data. Architect efficient data solutions and enforce robust data governance and compliance. Develop data models and mapping rules to transform raw data into actionable insights. Implement data quality monitoring and validation processes, including bias detection for AIML datasets. Collaborate with cross-functional teams to align data practices with industry standards. Maintain user documentation including data dictionaries and mapping rules. Ensure data availability and quality for AIML model training and deployment.
Seniority
Senior, hands-on IC