Mid-level Data Engineer

Data Engineering & Analytics


Description

Company Overview:

 

Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.

 

Position Title: Data Engineer

Category: Data Engineering & Analytics

Seniority: Mid-level



Location: LATAM

 

What you will be doing:

We are looking for a mid-level Data Engineer with strong hands-on experience building and optimizing scalable data solutions using Databricks, Python, SQL, and Apache Spark. 

The ideal candidate will be comfortable working with large datasets, developing reliable data pipelines, implementing complex transformations, and contributing to modern data platform initiatives.

Required Skills & Experience

 

  • 3+ years of experience in Data Engineering.

  • Hands-on experience with Databricks.

  • Intermediate Python programming skills level.

  • Intermediate SQL development and optimization skills.

  • Intermediate experience with Apache Spark / PySpark.

  • Experience implementing scalable ETL/ELT data pipelines.

  • Experience working with large datasets and distributed data processing.

  • Intermediate understanding of data engineering principles, data modeling, and data quality.

  • Ability to troubleshoot and optimize data processing workloads.

 

Nice to have 

 

  • Experience with Snowflake.

  • Experience with AI Coding tools like Claude or agents. 

  • Experience with AWS data services and cloud environments.

  • Experience with Google Cloud Platform (GCP).

  • Experience with dbt and modern ELT/data transformation practices.

  • Familiarity with cloud-based data lakehouse architectures.

  • Experience implementing CI/CD and automated testing for data pipelines.

 

Soft Skills

 

  • problem-solving and debugging skills

  • Ability to work independently and take ownership of projects

  • Good communication skills with the ability to articulate, diagram and document complex engineering concepts.



Why you will love GTS:

  • Join a powerful tech workforce and help us change the world through technology

  • Professional development opportunities with international customers

  • Collaborative work environment

  • Career path and mentorship programs that will lead to new levels.

Join GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.