Oracle is seeking a Principal Data Engineer to join their Customer Success Services team. This role focuses on advancing AI adoption and success for Oracle clients, building innovative AI solutions, and improving the customer experience. The position involves designing, implementing, and maintaining data architectures, managing data pipelines, and collaborating with cross-functional teams to deliver end-to-end services. The team is committed to building innovative solutions with a customer-centric mindset.
Requirements
- Design, implement, and support end-to-end data ingestion, transformation, and orchestration pipelines.
- Implement and support distributed data processing patterns including ELT, event-driven streaming, and micro-batch frameworks.
- Apply advanced performance engineering techniques for partitioning, indexing, caching, and adaptive query optimization.
- Design secure and compliant data environments integrating IAM, Vault, KMS, VCN security, and data governance standards.
- Enable model-ready datasets using feature engineering pipelines, metadata standardization, and lineage automation.
Benefits
- Competitive salary
- Flexible and remote working
- Learning and development opportunities
- Employee assistance program
- Employee resource groups
To apply for this job please visit eeho.fa.us2.oraclecloud.com.
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