Azure Data Engineer

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

• Technical Skills:

• Strong proficiency with Azure cloud services related to data and analytics (Azure SQL, Data Lake, Data Factory, Databricks, etc.).
• Experience with SQL and data modeling, as well as familiarity with NoSQL databases.
• Proficiency in programming languages such as Python or Scala.
• Knowledge of data warehousing and data lake concepts and technologies.

Analytical Skills: Ability to analyze complex data structures and derive insights.

Communication Skills: Excellent communication skills to effectively collaborate and convey complex solutions.

Problem-Solving: Strong problem-solving abilities to address data-related challenges.

Experience:

• Proven experience as a Data Engineer, preferably with a focus on Azure cloud technologies.
• Hands-on experience designing and delivering scalable and secure data solutions in Azure.

Work Environment:

• Office setting, with potential for remote work depending on company policy.
• Collaborative environment with frequent project team interactions.
• Requires staying updated with continuous innovations in cloud data technologies.