Data Engineer Azure Data Factory (ADF) - Argentina | 100% Remote

Location: Argentina | Can be 100% remote. Mission: Join a data team to design, develop, and operate ETL/ELT pipelines in Azure, ensuring data ingestion, transformation, and availability for business consumers and analytical models. The role involves technical responsibility for implementing solutions using Azure Data Factory, Azure Databricks, and storage ecosystems (Blob Storage, Data Lake) while applying best practices in data quality, performance, and governance. Responsibilities: Design and develop data ingestion and transformation pipelines using Azure Data Factory and Azure Databricks. Implement ETL/ELT processes with Apache Spark and PySpark for batch and near-real-time processing. Model and optimize SQL queries and data structures for analytical consumption and reporting. Manage and organize data in Azure Blob Storage and Azure Data Lake (Gen2), defining partitioning, formats, and retention policies. Build reproducible, parameterizable, and observable pipelines; instrument logging, metrics, and alerts. Collaborate with data science, BI, and product teams to define data contracts, SLAs, and quality requirements. Automate pipeline deployments and testing; apply version control and CI/CD practices for data artifacts. Ensure compliance with security and privacy policies when handling sensitive data. Document architectures, pipelines, and runbooks; transfer knowledge.