Mid Level Data Engineer
- Compensation
- Not disclosed
- Location
- Colombia
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 1–3 years in data engineering or analytics engineering.
- Practical exposure to PySpark and Python notebooks.
- Foundational KQL and willingness to deepen expertise quickly.
- Solid SQL fundamentals.
- Familiarity with Microsoft Fabric or strong motivation to ramp; exposure to cloud data platforms.
- Experience with git and VS Code/Visual Studio.
- Agile team experience; strong communication and teamwork.
Nice to have
- Exposure to Data Vault and star schema design.
- Experience with Power BI datasets, data modeling, and visualization basics.
- Familiarity with Tabular Editor; interest in C# scripting.
- Experience with Dataflows and pipeline orchestration.
- CI/CD exposure in Azure DevOps or GitHub.
Full 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
Location: Colombia & Mexico
What you will be doing:
We are hiring mid-career Data Engineers to build and support data pipelines, notebooks, and models within Microsoft Fabric. L1 engineers will execute well-defined tasks, learn quickly, and grow into owning stories with guidance. Strong emphasis on PySpark, KQL, and foundational SQL.
Required Skills & Experience
- 1–3 years in data engineering or analytics engineering.
- Practical exposure to PySpark and Python notebooks.
- Foundational KQL and willingness to deepen expertise quickly.
- Solid SQL fundamentals.
- Familiarity with Microsoft Fabric or strong motivation to ramp; exposure to cloud data platforms.
- Experience with git and VS Code/Visual Studio.
- Agile team experience; strong communication and teamwork.
Nice-to-have qualifications
- Exposure to Data Vault and star schema design.
- Experience with Power BI datasets, data modeling, and visualization basics.
- Familiarity with Tabular Editor; interest in C# scripting.
- Experience with Dataflows and pipeline orchestration.
- CI/CD exposure in Azure DevOps or GitHub.
Soft Skills
- problem-solving and debugging skills
- Strong communication skills
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.