7 days ago
Monterrey, MexicoMid Level
Responsibilities
- Develop reusable workflows for data ingestion, quality assurance, transformation, and optimization.
- Build scalable data pipelines using extract, transform, and load tools.
- Deploy data solutions into production while ensuring reliability and efficiency.
- Migrate data from legacy data warehouses using cloud architecture principles.
- Automate data flows to support seamless data consumption.
- Design and implement business processes supporting data governance.
- Advise on data quality rules and establish data compliance policies.
- Collaborate with multiple teams, manage team effectiveness, and contribute to key decisions.
Requirements
- Advanced proficiency in the Databricks Platform.
- Advanced proficiency in Python.
- At least two years of experience in relevant related skills.
- Bachelor's degree in a relevant field of study.
- Preferred: advanced proficiency in AI agents, Databricks SQL, large language model fine-tuning, and Microsoft Azure Databricks.
- Preferred: intermediate proficiency in data pipeline orchestration.
Benefits
- Career development aligned with profile and interests.
- Access to innovative methodologies and tools, cutting-edge technologies, and constant training.
- Direct contact with experts worldwide and participation in international projects.
- Team-oriented and collaborative work environment.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.