Azure Data Engineer

Title: Azure Data Engineer Duration: Long Term Location: Washington, DC Hybrid: 4 days onsite per week from day 1 About the role: Client is looking for Azure Data Engineer with Azure Data Factory, Databricks, DBT & Python. Responsibilities: Experience with Azure Data Factory (ADF) for orchestration from source to lake.Building and enhancing pipelines, working with metadata.Utilize Databricks to manage large data volumes efficiently.Experience with Python framework and libraries.

Job Title: Azure Data Engineer Location: Washington, DC 20433 (Preferred Local) Duration: 6 Month - Long Term No of opening: 6 Note: - Need Strong Azure Data Engineer with ADF(Azure Data Factory), Azure Databricks, DBT(Data Build Tool) and Python. Job Responsibilities: Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).Build and manage data transformation workflows using DBT (Data Build Tool).Develop and optimize data processing solutions using Azure Databric

Job Title: Azure Data Engineer Location: Washington, DC 20433 (Preferred Local) Duration: 6 Month - Long Ter Cliff: W2 Note: - Need Strong Azure Data Engineer with ADF(Azure Data Factory), Azure Databricks, DBT(Data Build Tool) and Python. Job Responsibilities: ? Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF). ? Build and manage data transformation workflows using DBT (Data Build Tool). ? Develop and optimize data processing solutions using Azure

Job Title: Data Engineer with Azure Lakehouse and Python Location: Remote in the United States, or Maryland, or Washington, DC Work Mode: Remote or Hybrid Experience Level: 10+ years Employment Type: W2 Only Job Description: Python for data processing & automation. Monitor ADF & Databricks pipelines throughout the day, Investigate && fix pipeline failures, delays, & data anomalies. Implement data quality checks using SQL, Python, & dbt tests. Detect missing tables, schema drift, null spikes