Databricks Data Engineer: Build Scalable Pipelines

Accenture México; Monterrey; On-site; MXN 600,000 - 800,000; Full time

Job summary

Accenture México seeks a data engineer to design and implement scalable data solutions on Databricks. You will collaborate across teams to deliver robust data pipelines, automate ingestion and transformation, and drive data governance.

The role requires advanced Databricks and Python skills, plus at least 2 years in related data engineering fields. A Bachelor's degree is required, with bonus for AI Agents and cloud Databricks expertise.

Qualifications

• Advanced proficiency with Databricks Platform and Python.
• Experience with AI agents and Databricks SQL is a plus.
• Bachelor's degree in a relevant field is required.

Responsibilities

• Develop reusable workflows for data ingestion, QA, transformation and optimization.
• Build scalable data pipelines using ETL tools.
• Deploy data solutions to production ensuring reliability and efficiency.
• Migrate data from legacy warehouses following cloud-architecture principles.
• Automate data flows to enable seamless data consumption.
• Advise on data quality rules and establish data governance policies.

Skills

Databricks Platform

Python

AI Agents

Databricks SQL

LLM Fine-Tuning

Azure Databricks

Data pipelines

Education

Bachelor's degree

Job description

Accenture México seeks a data engineer to design and implement scalable data solutions on Databricks. You will collaborate across teams to deliver robust data pipelines, automate ingestion and transformation, and drive data governance.

The role requires advanced Databricks and Python skills, plus at least 2 years in related data engineering fields. A Bachelor's degree is required, with bonus for AI Agents and cloud Databricks expertise.