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Lead Azure Data Engineer Jobs in Washington

Azure Data Engineer Jobs
By Baer Group At , Washington
Experience with Lakehouse Platform Databricks required.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to sensitive information.
Baer is looking for Azure Data Engineer for a 12 month Federal Remote Project.
Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure.
Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security, and performance.
Must be able to obtain and keep a USPS Sensitive Clearance –
Azure Data Engineer Jobs
By Ampcus Incorporated At , Washington, Dc
Build data transformation logic using Databricks and Spark for data processing and analytics. Experience in tuning Databricks environments.
Configure and manage Hadoop and Spark clusters in Azure HDInsight for big data processing.
Create and manage data storage solutions using Azure Blob and Data Lake.
Strong experience in data warehousing, data integration, and ETL tools.
Experience in version control tools such as Git and Bitbucket.
Excellent problem-solving and analytical skills.

Are you an experienced Azure Data Engineer looking for a new challenge? We are looking for a Lead Azure Data Engineer to join our team and help us build and maintain our data infrastructure. You will be responsible for designing and developing data solutions, as well as ensuring the performance and scalability of our data systems. If you have a passion for data engineering and are looking for an opportunity to make an impact, this is the job for you!

What is Lead Azure Data Engineer Job Skills Required?

• Expertise in Azure Data Services such as Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Cosmos DB, Azure Data Warehouse, Azure Stream Analytics, and Azure Machine Learning
• Knowledge of Azure Data Lake Analytics, Azure Data Lake Store, and Azure Data Catalog
• Experience with data modeling, data warehousing, ETL/ELT, and data integration
• Experience with SQL, T-SQL, and other query languages
• Knowledge of Azure DevOps, Azure Automation, and Azure Security
• Knowledge of Azure Data Factory, Azure Data Lake, and Azure Data Warehouse
• Knowledge of Azure Data Lake Analytics, Azure Data Lake Store, and Azure Data Catalog
• Knowledge of Azure DevOps, Azure Automation, and Azure Security
• Knowledge of Azure Data Factory, Azure Data Lake, and Azure Data Warehouse
• Knowledge of Azure Data Lake Analytics, Azure Data Lake Store, and Azure Data Catalog
• Knowledge of Azure DevOps, Azure Automation, and Azure Security
• Knowledge of Azure Data Factory, Azure Data Lake, and Azure Data Warehouse
• Knowledge of Azure Data Lake Analytics, Azure Data Lake Store, and Azure Data Catalog
• Knowledge of Azure DevOps, Azure