Found Description
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.