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Mid Level Data Engineer

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Onsite

Mid Level Data Engineer

Lean Tech

Mid Level Data Engineer

Skills

SQL QueriesData EngineeringPythonC#Data AnalysisGitHubPySparkPower BIAzure

20 days ago

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Important information


Contract type:

Permanent

Location:

Colombia, Huila, Colombia

Work mode:

Onsite

Published on:

30 September 2026

What they need


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, the 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 up; 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.

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.

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