AI & LLM Developer for Databricks & Data Pipelines

Accenture PLC; Monterrey; In loco; MXN 600.000 - 900.000; Tempo pieno

Descrizione del lavoro

Accenture is seeking a data and AI engineer in Monterrey to collaborate with cross-functional teams and lead data projects using Databricks LLM and AI Agents. You will shape how data works across several teams, building scalable pipelines and production deployments while driving governance and quality initiatives.

You will contribute to cloud-based data architecture, migrate legacy data, automate flows, and implement robust data policies in a fast-paced, international project environment.

Competenze

• Advanced proficiency in Databricks LLM.
• Advanced proficiency in AI Agents.
• A minimum of 2 years of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies.

Mansioni

• Develop reusable workflows that include data ingestion, quality assurance, transformation, and optimization.
• Build scalable data pipelines using extract, transform, and load tools.
• Deploy data solutions into production environments ensuring reliability and efficiency.
• Migrate data from legacy data warehouses by applying cloud architecture principles.
• Automate data flows to support seamless data consumption.
• Design and implement business processes that support data governance.
• Advise on data quality rules and establish effective data compliance policies.

Conoscenze

Databricks LLM

AI Agents

2+ years experience

Formazione

Bachelor's Degree in relevant field of studies

Descrizione del lavoro

Accenture is seeking a data and AI engineer in Monterrey to collaborate with cross-functional teams and lead data projects using Databricks LLM and AI Agents. You will shape how data works across several teams, building scalable pipelines and production deployments while driving governance and quality initiatives.

You will contribute to cloud-based data architecture, migrate legacy data, automate flows, and implement robust data policies in a fast-paced, international project environment.