Senior Data Engineer — Spark, GCP & Data Pipelines

Apex Systems; Estado de México; Presencial; MXN 600.000 - 1.200.000; Jornada completa

Descripción de la vacante

Apex Systems in Mexico is seeking an experienced Senior Data Engineer to design and optimize data pipelines using Python and Spark. Candidates should have 5+ years in data engineering or software development, with strong skills in GCP, REST APIs, and data modeling.

The role emphasizes building scalable data solutions, integrating relational and NoSQL databases, and implementing CI/CD practices with GitLab CI across distributed systems.

Formación

• Bachelor’s degree in Computer Science, Engineering, or equivalent.
• 5+ years of experience in data engineering or software engineering.
• Proficient in Python and Spark.
• Experience with relational and NoSQL databases.
• Experience with GCP (BigQuery, Dataproc).
• Experience building and consuming RESTful APIs in data pipelines.
• Hands-on experience with CI/CD (GitLab CI).
• Strong understanding of data modeling, distributed systems, and data pipelines.

Conocimientos

Python

Spark

REST APIs

CI/CD

Data pipelines

Data modeling

Distributed systems

Relational DBs

NoSQL DBs

GCP

Educación

Bachelor’s degree in Computer Science, Engineering, or equivalent

Herramientas

GitLab CI

BigQuery

Dataproc

Descripción del empleo

Apex Systems in Mexico is seeking an experienced Senior Data Engineer to design and optimize data pipelines using Python and Spark. Candidates should have 5+ years in data engineering or software development, with strong skills in GCP, REST APIs, and data modeling.

The role emphasizes building scalable data solutions, integrating relational and NoSQL databases, and implementing CI/CD practices with GitLab CI across distributed systems.