Senior Data Engineer — Databricks & Azure Data Pipelines

PwC Acceleration Centers; Estado de México; Presencial; MXN 480.000 - 720.000; Jornada completa

Descripción de la vacante

PwC Acceleration Centers is seeking an experienced Data Engineer to design and implement scalable data pipelines using Databricks, PySpark, Python and SQL on Azure. The role emphasizes Delta Lake architectures, CI/CD practices and familiarity with ML/Agentic AI frameworks.

The ideal candidate has 4+ years of data engineering expertise, strong distributed systems understanding, and hands-on experience with Spark—plus a passion for enterprise-grade, reliable analytics solutions.

Formación

• Bachelor's degree required.
• 4+ years of data engineering experience; design scalable data pipelines using PySpark, Python, SQL, Azure and Databricks.
• Strong knowledge of Delta Lake, DWH and Lakehouse architectures.
• Experience with ML techniques and Agentic frameworks like Langchain.
• Experience setting up CI/CD, automated testing and version control for deployments.

Conocimientos

Databricks

Azure

PySpark

Python

SQL

ML concepts

Agentic AI

Apache Spark

Distributed systems

Educación

Bachelor's degree

Herramientas

Delta Lake

Unity Catalog

CI/CD tooling

DLT workflows

Descripción del empleo

PwC Acceleration Centers is seeking an experienced Data Engineer to design and implement scalable data pipelines using Databricks, PySpark, Python and SQL on Azure. The role emphasizes Delta Lake architectures, CI/CD practices and familiarity with ML/Agentic AI frameworks.

The ideal candidate has 4+ years of data engineering expertise, strong distributed systems understanding, and hands-on experience with Spark—plus a passion for enterprise-grade, reliable analytics solutions.