Azure Data Engineer || IRVINE, CA || Onsite


work from home jobs California


Job Title: Azure Data Engineer

Experience: 10 to 12 yrs.

Job Summary:
• Collaborate with stakeholders to understand business requirements and translate them into architecture designs that meet those needs using Azure services.
• Design scalable, efficient, and reliable solutions that align with the organizations data strategy and future growth needs.
• Develop data integration strategies that ensure data consistency, integrity, and security.
• Create design artifacts and support prototyping through the creation of POCs.
• Create and maintain data models for efficient querying and reporting using Azure Analysis Services or other relevant tools.
• ETL Development

Job Summary:

Develop data pipelines and ETL processes using Azure Data Factory, Databricks, and other integration tools to ingest, transform, and load data from various sources.
Build, test, and maintain ETL processes to extract data from various source systems, transform it into the desired format, and load it into target databases or data warehouses.
Select and configure Azure data storage solutions, including Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage.
Develop ETL workflows and scripts using industry-standard tools and programming languages (e.g., SQL, Python, Apache Spark).
Optimize ETL processes for performance and efficiency, considering factors like data volume, latency, and resource utilization.
Data Quality and Governance. Implement data quality checks and validation rules to ensure the accuracy and reliability of data during the ETL process. Establish data governance practices, including metadata management, data lineage tracking, and documentation of ETL processes.
Work with data stewards and business analysts to resolve data quality issues and maintain data consistency.

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