Must-Have
- Proven experience in Azure Cloud architecture and solution design on Azure.
- Robust knowledge of Azure services: Data Lake, Synapse, Data Factory, Databricks, Event Hub, and Cosmos DB.
- Expertise in data modeling, ETL processes, and data warehousing concepts.
- Proficiency in SQL, Python, and/or Spark for data engineering tasks.
Good-to-Have
- Familiarity with Security best practices and compliance frameworks
- Excellent communication and stakeholder management skills
- Preferred: Azure Data Engineer or Azure Solutions Architect certification
- Azure Data Bricks, ADF, SQL, Python, Synapse
Roles & Responsibility-
1. Design end-to-end data architecture leveraging Azure services (Azure Data Lake, Synapse Analytics, Azure SQL Database, Databricks, etc.)
2. Define data modeling standards and implement optimized data storage solutions
3. Develop strategies for data integration, migration, and transformation using Azure Data Factory and related tools .