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.
Nice to have: Python.
Advanced English level.
Accenture does not discriminate ...