Key skills
AzureETLSQLELTData EngineeringAnalyticsAgileScrumKanbanCI/CDCollaboration
About this role
Role Overview
- Design, develop, and maintain scalable and efficient data pipelines (ETL/ELT).
- Build and optimize modern data architectures (Data Warehouse and Lakehouse).
- Implement data models (primarily dimensional modeling using the Kimball approach).
- Integrate multiple data sources ensuring quality, consistency, and availability.
- Perform data profiling and anomaly detection.
- Optimize SQL queries and performance across data platforms.
- Collaborate on defining standards, best practices, and data architecture.
- Implement CI/CD processes and DevOps practices applied to data pipelines.
- Work under Agile methodologies (Scrum/Kanban) in collaboration with multidisciplinary teams.
Requirements
- 3 to 5 years of experience in Data Engineering.
- Solid experience with Azure technologies: Azure Data Factory, Azure Databrick, Azure Synapse Analytics
- Microsoft Fabric (desirable and highly valued)
- Experience in Data Warehouse and Lakehouse design, including Medallion Architecture.
- Proficiency in ETL/ELT processes.
- Experience in data profiling and anomaly detection.
- Strong knowledge of dimensional data modeling (Kimball).
- Advanced mastery of SQL.
- Experience working with relational databases.
- Experience in DevOps practices (CI/CD) applied to data.
- Familiarity with Agile methodologies.
- Must be fluent in english and spanish.
Tech Stack
- Azure
- ETL
- SQL