AI Developer (Databricks or LLM)

Accenture México; Monterrey; In loco; MXN 420.000 - 750.000; Tempo pieno

Descrizione del lavoro

Accenture México in Monterrey seeks a data engineer to innovate with the Databricks Platform and Python. You will collaborate across teams to build scalable data pipelines, enforce data quality, and deploy production solutions.

The ideal candidate has at least 2 years of hands-on experience with data engineering tools, a Bachelor’s degree, and a passion for cloud-native architectures. Join a global team delivering impact on international projects.

Competenze

• Advanced proficiency with Databricks Platform.
• Proficient in Python programming.
• Minimum of 2 years of experience in related skills.
• Bachelor's degree in a relevant field.

Mansioni

• Collaborate with multiple teams to manage and guide the data team.
• Develop reusable data pipelines for ingestion, transformation, and loading.
• Build scalable data pipelines using ETL tools.
• Deploy data solutions to production environments ensuring reliability.
• Migrate data from legacy warehouses applying cloud architecture principles.
• Automate data flows to improve data consumption.
• Design and implement data governance processes.
• Advise on data quality rules and compliance policies.

Conoscenze

Databricks Platform

Python

2 years experience

Bachelor's Degree

Formazione

Bachelor's Degree

Descrizione del lavoro

DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!

Did you know that Accenture is leading the digital transformation in the World?

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 cities, 49 countries and approximately 732,000 employees worldwide.

Offer

• Career development according to your profile and interests.
• Work in one of the best companies and feel proud.
• Access to an innovative methodology and tools.
• Direct contact with experts worldwide.
• Use of work schemes and cutting-edge technologies.
• Constant training.
• Work environment based on teamwork and collaboration.
• Participation in International Projects

Accenture does not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered by local law.

THE WORK:

• Discover new possibilities and inspire innovation. You will collaborate and manage the team to perform effectively, engage with multiple teams, and contribute to key decisions. You will provide solutions to challenges for your immediate team and across multiple teams, all while embracing the advanced capabilities of the Databricks Platform. Join us to make a meaningful impact and grow your expertise in a supportive and dynamic environment.
• 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 facilitate seamless data consumption.
• Design and implement business processes that support data governance.
• Advise on data quality rules and establish effective data compliance policies.

HERE'S WHAT YOU WILL NEED:

• Advanced proficiency in Databricks Platform.
• Advanced proficiency in Python (Programming Language).
• A minimum of 2 of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies.

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in AI Agents.
• Advanced proficiency in Databricks SQL.
• Advanced proficiency in Large Language Model Fine-Tuning.
• Advanced proficiency in Microsoft Azure Databricks.
• Intermediate proficiency in data pipeline orchestration.