Data Engineer: Build Scalable Cloud Data Pipelines

Publicis Global Delivery (PGD); Bogotá, Distrito Capital; Presencial; COP 153.356.592 - 230.034.888; Jornada completa

Descripción de la vacante

A global marketing services firm in Bogotá seeks a Data Engineer to lead data management projects. Responsibilities include developing data pipelines, optimizing data models, and collaborating with cross-functional teams to ensure data quality and availability. Candidates should possess a Bachelor’s degree and over 3 years of experience in Data Engineering, with strong skills in Python, SQL, and familiarity with Big Data frameworks. This full-time role offers an opportunity to contribute to impactful projects in a dynamic environment.

Formación

• 3+ years of experience in Data Engineering or Data Science with large-scale projects.
• Strong proficiency in Python and SQL.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Big Data frameworks such as Databricks, Spark, or Hadoop.
• Experience with data transformation and orchestration tools (dbt, Airflow, ADF, etc.).
• Intermediate to advanced English for technical communication.

Responsabilidades

• Design, develop, and maintain robust data pipelines (ETL/ELT).
• Build and optimize data models for analysis.
• Develop and optimize SQL queries and Python scripts.
• Implement and monitor data validation, quality checks, and performance.

Conocimientos

Python

SQL

Data management

Data transformation

Big Data frameworks

Cloud platforms

Data visualization

Statistical analysis

Educación

Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field

Herramientas

Databricks

Spark

Hadoop

AWS

Azure

GCP

dbt

Airflow

ADF

Tableau

Looker Studio

Descripción del empleo

A global marketing services firm in Bogotá seeks a Data Engineer to lead data management projects. Responsibilities include developing data pipelines, optimizing data models, and collaborating with cross-functional teams to ensure data quality and availability. Candidates should possess a Bachelor’s degree and over 3 years of experience in Data Engineering, with strong skills in Python, SQL, and familiarity with Big Data frameworks. This full-time role offers an opportunity to contribute to impactful projects in a dynamic environment.