We are hiring Microsoft Azure Data Engineers to join our team. You will be responsible for designing, building, and maintaining scalable data pipelines and solutions on Azure cloud infrastructure. This includes working with services like Azure Data Factory, Azure Synapse, Azure Data Lake, and Cosmos DB.

Responsibilities

Design and implement scalable ETL/ELT pipelines using Azure Data Factory.
Build and manage data integration workflows across various data sources.
Develop and optimize data models in Azure Synapse Analytics and SQL Database.
Implement data quality and governance practices in the Azure environment.
Work closely with data scientists, analysts, and business stakeholders to ensure reliable data delivery.
Monitor and troubleshoot data pipelines and ensure performance and security best practices.
Automate deployment using CI/CD pipelines in Azure DevOps.
Implement and maintain data lake solutions using Azure Data Lake Storage (ADLS).

Qualifications

Strong understanding of Azure cloud services, especially in data engineering and storage.
Hands-on experience with Azure Data Factory, Synapse Analytics, ADLS, Azure SQL, and Cosmos DB.
Proficiency in SQL and working with structured and semi-structured data.
Experience with Python, PySpark, or Scala for data transformation.
Knowledge of data warehousing concepts and dimensional modeling.
Experience in creating and optimizing stored procedures, views, and functions.
Understanding of data security, encryption, and access control in Azure.
Experience with CI/CD tools like Azure DevOps for automating data pipelines.
Knowledge of Power BI or similar tools is a plus.
Experience working in Agile environments with Git version control.
Familiarity with monitoring tools like Azure Monitor and Log Analytics.
Strong problem-solving skills and attention to detail.

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