- Hands-on Data Engineer with strong Microsoft Fabric experience, including Lakehouse, OneLake, Data Factory/Pipelines, Warehousing, and Fabric ecosystem services.
- Strong Python development skills for data engineering, data transformation, automation, and pipeline development.
- Design, build, and support scalable ETL/ELT data pipelines across enterprise Azure environments.
- Experience working with Microsoft Fabric Lakehouse architecture, including data ingestion, transformation, storage, and analytics enablement.
- Strong understanding of data engineering fundamentals, including data modeling, partitioning, optimization, and performance tuning.
- Experience supporting Azure Data Platform technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Storage, and related services.
- Ability to work within large-scale enterprise data environments supporting multiple business units and data domains.
- Knowledge of Medallion Architecture (Bronze, Silver, Gold) and practical implementation of modern data lakehouse solutions.




- Experience integrating and transforming structured and semi-structured data sources including APIs, databases, JSON, CSV, and cloud-based systems.
- Understanding of Fabric operational monitoring, capacity consumption monitoring, and platform governance best practices.
- Ability to clearly explain and demonstrate the distinction between Fabric Files, Tables, Lakehouses, Warehouses, and OneLake storage concepts.
- Exposure to Azure DevOps and CI/CD practices, including deployment automation, source control, release management, and pipeline promotion across environments.
- Experience supporting cloud data modernization, migration, and analytics initiatives within Azure-centric ecosystems.
- Strong SQL skills including complex joins, performance optimization, data validation, troubleshooting, and query development.
- Exposure to Databricks, Spark, or PySpark is beneficial but not considered the primary requirement.
- Experience with Re

📌 Fabric Data Engineer Azure Data Engineer (Colombia)
🏢 Myticas Consulting
📍 Colombia