Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Build and evolve data architecture, including models, schemas, and dictionaries.
• Integrate data from multiple sources, ensuring quality, consistency, and readiness for analytics and operations.
• Apply data governance policies to ensure security, privacy, and compliance.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.
• Stay current with emerging technologies and identify opportunities to enhance data infrastructure.
• Implement best practices in big data and cloud computing to ensure efficiency and scalability.

Required Skills

• +2 years of experience as a Data Engineer in cloud environments.
• Hands‑on experience with Azure Data Factory and Azure Databricks.