Data Engineer with OCI Exp.

As a Data Engineer with OCI, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards. Mandatory Technical skills: - PySpark, Python, Advanced SQL, Big Data Processing, OCI Responsibilities: - · Design, develop, and optimize scalable batch and streaming data pipelines using PySpark, Python, and advanced SQL. · Build enterprise-grade ingestion, transformation, enrichment, and consumption pipelines across Bronze, Silver, and Gold layers. · Design and operate cloud data solutions primarily on Oracle Cloud Infrastructure (OCI), while supporting platform evaluation or integration with Databricks and Snowflake where appropriate. · Process structured, semi-structured, and unstructured content at scale, including document ingestion, metadata extraction, and entity extraction. · Engineer enterprise knowledge-base pipelines using chunking, embeddings, vector stores, and graph databases to support search, retrieval, and agentic AI use cases. · Design reusable data models, lakehouse/warehouse structures, semantic layers, and data products for enterprise consumption. · Implement data quality, observability, lineage, governance, security, and incremental-processing controls across the platform. · Optimize distributed processing, storage, and query performance for high-volume data workloads. · Collaborate with data architects, AI teams, platform teams, business stakeholders, and client leadership to translate requirements into scalable technical solutions. · Contribute hands-on to development, code reviews, troubleshooting, production deployments, and technical design decisions. · Mentor engineers and support initial technical screening, solution discussions, and delivery planning.