Note: The job is a remote job and is open to candidates in USA. Precision Technologies is a company focused on data solutions, and they are seeking an Azure Data Engineer. The role involves designing, developing, and maintaining data pipelines and integration solutions using Azure services, as well as collaborating with various stakeholders to support analytics initiatives.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines and data integration solutions using Azure services
• Build and manage ETL/ELT workflows using Azure Data Factory (ADF)
• Develop scalable big data processing solutions using Azure Databricks, PySpark, and Spark SQL
• Design and maintain enterprise data lakes using Azure Data Lake Storage (ADLS)
• Develop and optimize data warehouses using Azure Synapse Analytics
• Perform data transformation, cleansing, validation, and enrichment activities
• Implement data modeling, partitioning, and performance optimization strategies
• Integrate data from multiple structured and unstructured data sources
• Monitor data pipelines, troubleshoot issues, and ensure data quality and reliability
• Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support reporting and analytics initiatives
• Implement security, governance, and compliance best practices for data platforms

Skills

• Design, develop, and maintain end-to-end data pipelines and data integration solutions using Azure services
• Build and manage ETL/ELT workflows using Azure Data Factory (ADF)
• Develop scalable big data processing solutions using Azure Databricks, PySpark, and Spark SQL
• Design and maintain enterprise data lakes using Azure Data Lake Storage (ADLS)
• Develop and optimize data warehouses using Azure Synapse Analytics
• Perform data transformation, cleansing, validation, and enrichment activities
• Implement data modeling, partitioning, and performance optimization strategies
• Integrate data from multiple structured and unstructured data sources
• Monitor data pipelines, troubleshoot issues, and ensure data quality and reliability
• Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support reporting and analytics initiatives
• Implement security, governance, and compliance best practices for data platforms

Company Overview