This is a fully remote position, open to applicants in Argentina.

• Design, construct, and enhance ETL/ELT pipelines within Azure cloud settings.

• Create scalable and dependable data workflows utilizing Azure Data Factory (ADF) and other Azure data services.

• Develop and sustain data solutions using Azure SQL and associated cloud-native services.

• Design and execute comprehensive data models that support analytics, reporting, and downstream integrations.

• Create and maintain API-based integrations between internal and external systems.

• Apply data models adhering to contemporary Data Lakehouse or layered architecture principles.

• Ensure data quality, consistency, and performance throughout ingestion, staging, and curated layers.

• Collaborate with data architects, analysts, and business stakeholders to convert healthcare data requirements into scalable technical solutions.

• Develop reusable data transformation logic and modular processing components.

• Facilitate deployment processes in accordance with CI/CD and DevOps best practices.

• Monitor and enhance data workflows for performance, scalability, and reliability.

• Contribute to data governance, security, and compliance practices pertinent to healthcare environments.

• Practical experience with Azure Data Services.

• Proven experience in creating and maintaining data pipelines utilizing Azure Data Factory (ADF).

• Strong familiarity with Azure SQL and relational databases.

• Experience with API integrations and cloud-based data workflows.

• Solid comprehension of Data Modeling principles for analytics and reporting.

• High proficiency in SQL.

• Background in designing and supporting ETL/ELT processes in cloud environments.

• Understanding of modern data architecture concepts, including data warehousing, lakehouses, or layered data models.

• Capability to work with large datasets and develop scalable, reliable data solutions.

• Health insurance

• Professional development opportunities

Data Engineer – Azure, SQL

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