Engineer – Data Platforms & Artificial Intelligence

Description

Short Description

• Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.

• Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).

• Conocimiento en procesamiento y explotación de datos a gran escala.

• Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.

• Manejo de pipelines ETL/ELT y soluciones analíticas modernas.

• Experiencia en RAG, vector databases y fine-tuning de modelos.

Description

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

Responsibilities

• Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.

• Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).

• Conocimiento en procesamiento y explotación de datos a gran escala.

• Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.

• Manejo de pipelines ETL/ELT y soluciones analíticas modernas.

• Experiencia en RAG, vector databases y fine-tuning de modelos.

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

Responsibilities

Short Description

• Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.
• Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).
• Conocimiento en procesamiento y explotación de datos a gran escala.
• Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.
• Manejo de pipelines ETL/ELT y soluciones analíticas modernas.
• Experiencia en RAG, vector databases y fine-tuning de modelos.

Description

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

Responsibilities

• Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.
• Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).
• Conocimiento en procesamiento y explotación de datos a gran escala.
• Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.
• Manejo de pipelines ETL/ELT y soluciones analíticas modernas.
• Experiencia en RAG, vector databases y fine-tuning de modelos.

Responsible for participating in customer engagements to collaboratively design and implement solutions. May work directly with customers to gather requirements, develop architectures and translates business needs into solutions. Implements solutions and ensures successful deployments through code development and scripting. Displays product/application understanding through more customized presentation demonstrations to customers and at conferences and events. Supports customer from Proof of Concept (POC) through production deployment of services via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Serves as a technical point of contact for customers and sales on technical cloud solutions and customer success. Further builds business and technical acumen.