Azure Synapse Data Engineer

Job Description:

Responsibilities:

Data Solutions Design and Implementation:
Design and implement modern data architectures using Azure Data Services such as Azure SQL Database, Azure Data Lake, Azure Data Factory, and Azure Databricks.
Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.
Ensure solutions are scalable, resilient, and efficient to meet the needs of the business.
Data Integration and Orchestration:
Utilize Azure Data Factory to create data pipelines for data transformation and integration.
Implement data flows to connect operational systems, data for analytics and BI systems.
Design and implement event-driven architectures using Azure Event Hubs and Azure Stream Analytics.
Data Storage and Optimization:
Manage and optimize data storage using Azure Blob Storage, Azure Data Lake Storage, and other Azure storage options.
Implement enterprise data warehouses in Azure Synapse Analytics to support business intelligence tools.
Optimize data retrieval and perform tuning on SQL databases to ensure performance and scalability.
Security and Compliance:
Implement security measures to protect data at rest and in transit.
Ensure compliance with data governance and security policies.
Manage and monitor data permissions and access within Azure environments.
Collaboration and Support:
Work closely with data scientists, business analysts, and other stakeholders to ensure their data needs are met.
Support migration of data from legacy systems to Azure cloud.
Provide training and support to data users on new solutions.