We are looking for a Data Engineer to design and develop scalable data pipelines that enable reliable analytics and business insights for the Logistics team. You will work with Azure technologies to integrate, transform, and model data from multiple sources while following data governance best practices.
Responsibilities
- Build and maintain ETL/ELT pipelines.
- Develop solutions using Azure Data Factory, Databricks, and Airflow.
- Integrate and transform data from multiple sources.
- Create data models for analytics and reporting.
- Support Power BI dashboards and business metrics.
- Ensure data quality, performance, and governance standards.
Requirements
- 3+ years of experience as a Data Engineer.
- Strong experience with:
- Azure Data Factory
- Azure Databricks
- Apache Airflow
- Power BI
- GitHub
- Advanced SQL and Python (Pandas, NumPy, PySpark).
- Experience with data modeling and ETL/ELT processes.
Sueldo: $50,000.00 - $53,000.00 al mes
Pregunta(s) de postulación:
- ¿Cuántos años de experiencia tienes como Data Factory?
Lugar de trabajo: Empleo presencial
