Stefanini LATAM
10,000+ employees
Founded 1987
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
Ingeniero de Datos, Fabric PI
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Stefanini LATAM
10,000+ employees
Founded 1987
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
📋 Description
• Diseñar e implementar arquitecturas de datos en Microsoft Fabric. • Desarrollar pipelines de ingesta de datos. • Conocimiento de modelos semánticos en Power BI conectados a Fabric. • Conocimiento de modelos de datos. • Conocimiento rendimiento de consultas DAX, SQL.
🎯 Requirements
• Conocimiento de la funcionalidad de la Medallion Architecture dentro de Fabric. (Bronce, Silver, Gold) • Experiencia en migración de soluciones legacy (SSAS, ADF standalone, Power BI) a Fabric. • Conocimiento de OneLake como capa de almacenamiento unificado. • Conocimientos a nivel senior de SQL, Store Procedures Microsoft • Lenguajes y Tecnologías - SQL (T-SQL, Spark SQL) · Python / PySpark • Plataformas Cloud y Datos - Microsoft Azure • Modelado y Arquitectura de Datos - Arquitectura de medallón (bronce → plata → oro) • CI/CD integrado Pipeline Deployment para despliegues controlados y trazables hacia producción
Apply NowSimilar Jobs
🔥 6 hours ago
Senior Data Engineer designing cloud-native data pipelines using Python and Snowflake at Enroute. Responsible for analytics, reporting, and operational workflows across systems.
Airflow
Apache
Cloud
ETL
Python
SQL
🔥 20 hours ago
Senior Data Engineer shaping data analytics and solutions at 3Pillar Global. Collaborating with teams and clients to drive impactful data engineering projects.
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
EC2
ETL
Google Cloud Platform
Hadoop
Numpy
Pandas
Python
Spark
SQL
Tableau
🕒 Yesterday
Senior Data Engineer developing robust data pipelines for advertising technology company. Collaborating with teams to ensure data quality and enable efficient data consumption across the organization.
AWS
Cloud
DynamoDB
ETL
Python
SDLC
SQL
SSIS
Terraform
🕒 June 11
Senior Data Engineer responsible for guiding enterprise data platform architecture and developing scalable data pipelines. Collaborating cross-functionally with Engineering, Finance, Product, and Operations teams.
Airflow
Amazon Redshift
Apache
AWS
Cloud
Python
SQL
🕒 June 11
Data Engineer designing, building, and maintaining scalable data pipelines at Sonatafy Technology. Collaborating on machine learning and data integration projects for a range of clients.
Azure
ETL
Python
SOAP
Spark
SQL
