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No of position :- ( 1 )
Post :- 9th Jan 2026
· Microsoft Azure, Azure Databricks, and DBT
· Knowledge of data catalog tools (e.g., Microsoft Purview)
· Proficiency in data processing languages, including SQL and Python
· Excellent problem-solving skills and ability to work in a collaborative environment
Education:
· Bachelor’s degree in Computer Science, Engineering, or related field.
· Experience as an Azure Data Engineer or similar role.
Data Pipeline Design and Implementation:
· Create and maintain data pipelines that facilitate data movement, transformation, and integration.
· Ensure efficient and reliable data flow from source systems to target destinations.
Data Storage Solutions:
· Design and manage data storage solutions within Azure, including:
· Azure Data Lake: Storing large volumes of raw data.
· Azure SQL Database: Providing structured data storage.
· Azure Blob Storage: Handling unstructured data.
Data Processing and Transformation:
· Use tools like Databricks and dbt to process and transform data.
· Leverage Azure Databricks for running dbt transformations in production
Data Integration:
· Collaborate with data analysts and scientists to understand data requirements.
· Design effective data workflows that enable data-driven decision-making.
Performance Optimization:
· Optimize SQL queries generated by dbt for better performance.
· Ensure consistency between development (using a Databricks SQL warehouse) and production (using Azure Databricks compute) environments
Security and Compliance:
· Implement secure and compliant data processing pipelines.
· Use Azure services and frameworks to produce cleansed and enhanced datasets for analysis