Analytics Engineer

• Design, develop, and maintain ETL/ELT processes to support enterprise reporting and analytics
• Develop source-to-stage and stage-to-data warehouse data pipelines
• Create and maintain data transformation logic, mappings, and business rules
• Develop and optimize database views, stored procedures, and SQL scripts
• Integrate data from databases, APIs, file systems, and third-party applications
• Implement error handling, logging, monitoring, and recovery processes within ETL workflows
• Support enterprise data warehouse architecture and data modeling initiatives
• Ensure data quality, consistency, and integrity throughout the data lifecycle
• Perform data validation, reconciliation, and root cause analysis
• Collaborate with business analysts and stakeholders to translate requirements into technical solutions
• Document data flows, mappings, technical specifications, and operational procedures
• Develop and maintain workflow scheduling and orchestration processes
• Configure job dependencies, alerts, notifications, and automated recovery procedures
• Monitor ETL jobs and proactively identify performance bottlenecks
• Support production deployments and post-deployment validation activities
• Troubleshoot ETL failures and data quality issues
• Participate in code reviews and adherence to development standards
• Recommend improvements to data integration processes and system performance
• Support production incidents and perform impact analysis as needed

Analytics Engineer jobs in South Carolina

ETL Developer – Azure Data Factory, MS Fabric