Data Engineer

Responsibilities

• Design and deliver Oracle AI Data Platform solutions, including platform implementations and migrations.
• Build scalable, governed, AI-ready data pipelines, software components, and services for data consolidation, integration, transformation, and data products.
• Develop Lakehouse, Medallion, streaming, and real-time analytics solutions on OCI using Spark, PySpark, Delta Lake, Parquet, Flink, and distributed-systems patterns.
• Build AI/ML and Generative AI data pipelines, including feature engineering, feature extraction, MLOps workflows, and vector-ready datasets.
• Assess and modernize workloads by refactoring PySpark and ETL code and optimizing Spark configuration, partitioning, memory, adaptive query execution, reliability, and performance.
• Develop APIs, SDKs, web applications, and automation frameworks that simplify adoption of Oracle AI Data Platform and Generative AI services.
• Contribute to reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
• Contribute to engineering excellence across CSS and continuously evaluate emerging AI, cloud, and data-engineering practices.