**Language Requirement**: Advanced English
**Qualifications Required**
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
**Roles and Responsibilities**
- Design, build, and maintain scalable and efficient ETL/ELT data pipelines using **Azure Data Factory** and **Azure Databricks**.
- Write complex, high-performance SQL queries and scripts for data extraction, transformation, and loading.
- Implement data transformation logic using **Python** and **PySpark (or Scala)** within the Databricks environment.
- Work hands-on with **Snowflake** for data management and integration.
- Ensure pipeline reliability, scalability, and performance through monitoring, alerting, and proactive maintenance.
- Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements and deliver actionable solutions.




- Enforce data governance and security best practices, ensuring compliance with organizational and regulatory standards.
- Optimize data storage, compute, and processing resources in the Azure ecosystem to reduce costs and improve efficiency.
- Document data flows, processes, and technical designs clearly and effectively.
- Contribute to code reviews, technical discussions, and mentor junior engineers.
**Technical Expertise**
- **Azure Data Factory**:
- **Azure Databricks**:
- **SQL**:
- **Python**:
- **PySpark (or Scala)**:
- **Snowflake**
Tipo de puesto: Jornada completa
Sueldo: $65,000.00 - $75,000.00 al mes
Lugar de trabajo: Empleo presencial

📌 Data Engineer Sr (Ciudad de México)
🏢 Beyserin Consulting
📍 Ciudad de México