[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company 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, reputed company, and maintain end-to-end data pipelines and data integration solutions using Azure services
- Build and manage ETL/ELT workflows using Azure Data reputed company (ADF)
- reputed company scalable big data processing solutions using Azure reputed company, PySpark, and Spark SQL
- Design and maintain reputed company data lakes using Azure Data Lake Storage (ADLS)
- reputed company and optimize data warehouses using Azure Synapse Analytics
- reputed company data transformation, cleansing, validation, and enrichment activities
- Implement data modeling, partitioning, and performance optimization strategies
- Integrate data from multiple structured and reputed company 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 reputed company, governance, and compliance best practices for data platforms
Skills
- Design, reputed company, and maintain end-to-end data pipelines and data integration solutions using Azure services
- Build and manage ETL/ELT workflows using Azure Data reputed company (ADF)
- reputed company scalable big data processing solutions using Azure reputed company, PySpark, and Spark SQL
- Design and maintain reputed company data lakes using Azure Data Lake Storage (ADLS)
- reputed company and optimize data warehouses using Azure Synapse Analytics
- reputed company data transformation, cleansing, validation, and enrichment activities
- Implement data modeling, partitioning, and performance optimization strategies
- Integrate data from multiple structured and reputed company 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 reputed company, governance, and compliance best practices for data platforms
Company Overview