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 Distribution
📍 León