Custom software and data engineering for startups and mid-market
RügerTek is a Paraguay-based software shop built around Python, SQL, and cloud platforms (Azure, AWS), with heavy focus on data engineering tooling (Pandas, scikit-learn, TensorFlow, Airflow, Databricks). The project list—predictive modeling, AI solutions, process automation, analytics layers—tracks a shift from traditional web/mobile outsourcing toward data-intensive work. The hiring mix (3 data roles, 1 engineer, 1 support) confirms that momentum; they're scaling data capabilities while keeping overall headcount lean.
RügerTek develops custom software, mobile applications, and ecommerce solutions for startups and growing businesses. Founded in 2017, the company operates from Asunción with 51–200 employees and has completed over 40 projects. Beyond traditional development, the team now focuses on data engineering and automation—building predictive models, designing analytics dashboards, and standardizing operational processes. They staff projects with on-demand developers and maintain in-house delivery capacity across Python, Node.js, React, and cloud infrastructure.
Primary: Python, SQL, Node.js, React. Infrastructure: Azure, AWS. Data: Pandas, NumPy, scikit-learn, TensorFlow, PySpark, Airflow, Databricks. Tools: Docker, Git, Keycloak, Entity Framework, Power BI, Tableau.
Predictive modeling and AI solutions, process automation, data pipeline optimization, analytics dashboards, and vendor/onboarding process standardization. Focus trending toward data engineering and business intelligence.
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