Requirements
SCHOLARSHIP:

Engineering (IT, Software)

EXPERIENCE:

1-2 years of experience in data integration, ETL development, or data engineering. Experience in Languages: Python, Bash, Powershell, C#, (Exposer to Clojure deseable) Hands-on experience with ETL tools such as Conexiom, PowerBi, similar platforms.

KNOWLEDGE:

Tools: Airflow, Azure data Factory (most important), Aure devops, (SSIS and/or ODI preferred, but only enough knowlage need to convert ETL jobs to Azure Data Factory)

Data: SQL (MSSQL, Oracle)

Source Control Management: Git

Agile Process implementation

Proficiency in ETL tools and techniques, including data extraction, transformation, and loading processes.

Strong knowledge of SQL, Oracle and relational database concepts.

Familiarity with cloud-based data integration solutions (e.g.,



Azure Data Factory, AWS Glue).

Understanding of data modeling, data warehousing, and data architecture principles.

Knowledge of data governance, data quality, and data security standards

Team player with the ability to work collaboratively across departments and countris (English and Spanish spoken)

Travel Requirements
Additional Locations
LEON , Mexico

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📌 AI PLATFORM ENGINEER (León)
🏢 Vallen
📍 León