Azure Data Engineer

Description

Data Engineer should have proficiency in data engineering for Azure Data Engineers.

Mastery in designing robust, scalable, and secure data solutions on Azure is essential.

This includes understanding Azure's data services ecosystem, such as Azure Data Lake, Azure Synapse Analytics, and Azure Data bricks.

Data Engineers must architect solutions that can handle the volume, velocity, and variety of data, ensuring performance and compliance.

Data Engineer must have a strong grasp of cloud security principles and practices.

Understanding Azure's security features, such as Azure Active Directory, network security groups, and encryption services, is essential.

Data Engineers must ensure that data solutions comply with industry regulations and company policies.

The ability to build and maintain a data architecture that supports both real-time and batch processing will be a defining factor in the success of data-driven organizations.

Responsibilities

• Looking for a full stack data engineer with 10+ years of experience in the field.
• Proficiency in Azure data technology stack.
• Experience designing, building, and maintaining ETL/ELT pipelines to move and transform data between systems.
• Experience in building Data lakes (primarily Azure DL.)
• Experience with data warehousing solution.
• Expertise in building logical and physical data models.
• Experience with cloud services such as Google Cloud Platform (BigQuery, Dataflow), or Azure Data Services.
• Experience with both SQL and NoSQL databases, like PostgreSQL, MySQL etc.
• Ability to work with RESTful APIs and occasionally SOAP APIs for data integration.
• Proficiency in visualization tools like Tableau, Power BI, or experience with data visualization.