- Design, build, and maintain pipelines, datasets, dataflows, integration runtimes, and monitor pipeline executions using Azure Data Factory and Azure Synapse.

- Extract, transform, and load (ETL) data from source systems and process large datasets using Azure Databricks.

- Develop complex SQL scripts for data querying and transformation.

- Create and manage Synapse pipelines to migrate data from Azure Data Lake Gen2 to Azure SQL databases.

- Manage data migration pipelines to Azure cloud, including database migration from on-premises SQL Server to Azure Dev Environment using Azure Database Migration Service (DMS) and Data Migration Assistant.

- Utilize Azure Data Catalog for data asset discovery and management.

- Work on Big Data batch processing, interactive processing, and real-time processing solutions using Azure services.

Required Skills & Experience :

- 3 to 5 years of experience working with Microsoft Azure Fabric ecosystem.

- Proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL, and ETL concepts.

- Strong SQL skills for complex data manipulation and transformation.

- Experience in building and monitoring data pipelines and triggers.

- Hands-on experience with data migration techniques using Azure DMS and Data Migration Assistant.

- Familiarity with Azure Data Catalog for metadata management.

- Experience working with Big Data processing solutions, both batch and real-time.

Certifications :

- Azure Data Engineer Associate or relevant Microsoft Azure certifications are a plus.