Software Engineer Data Solutions, AI & Data Platform (AiDP)

AI u0026 Data Platforms (AiDP) is ISu0026Ts engine for AI-powered innovation. The team brings together data application development and machine learning including generative AI along with data services and customer success functions to help ISu0026T build solutions more efficiently and streamline the adoption and embedding of generative AI across are looking for a Software Engineer to help build next- generation of Applied Machine Learning Data Platforms. Applied Machine Learning Data Platform team provides platform engineering data engineering tools data pipelines and services for various Machine Learning and Analyst teams. These help to train and deploy inference models and run data analytics at scale to prevent Fraud and automate decisioning on multiple Apple Platforms like Apple Pay Apple Media Products App Store Online Store Retail AppleCare and Manufacturing. Our team within the greater AiDP team is the Core Platform Engineering team which is a backbone of the platform responsible for handling data at multi-petabyte scale with low latencies and high concurrency.n

Were looking for a Software Engineer with a strong data background and deep platform-thinking to design build and enhance a scalable efficient data bring hands-on experience in data warehousing and analytics and thrive on solving hard large-scale data problems. If youre passionate about building production-grade platforms and want to make a lasting impact at scale wed love to talk to

Architecting scalable data processing systems for real-time near-real-time and batch data data engineering solutions in Python and advanced self service data engineering applications for business complex Python PySpark SQL and data processing for large-scale data platforms including Snowflake and Apache Spark with software system testing and validation procedures and documentation by writing efficient code that results in performant solutions;nConferring with data processing or project managers to obtain and refine system existing software to correct errors adapt it to new platform requirements and implement new functionality.

Bachelors degree or equivalent in Computer Science Information Systems or a related field.n4 years of subsequent data engineering experience across the required skills including data warehousing big data and analytics domainsnDeep understanding and experience of working with high volume high concurrency platforms nWriting Spark Trino or Snowflake Flink code Python and SQL for large scale relational data warehouses and data lake platforms on the data pipelines for structured and semi-structured data.

Building highly scalable data engineering platform components and foundational tools in Python Java or experience working with AI models and tools such as Claude building agents etcnExperience with large scale platform migration projectsnWorking with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies