Responsibilities
- Architect, build, and sustain ETL workflows and data transformation logic
- Develop and maintain data pipelines using Apache Spark
- Support cross-platform data integration projects
- Diagnose and resolve data inconsistencies and system errors
- Generate reports and visualizations using Qlik Sense
- Maintain high standards for data accuracy, system reliability, and processing efficiency
- Partner with business and technical teams to define and interpret data requirements
- Engage in Agile development cycles and enhance data solution methodologies
- Support DevOps principles and participate in CI/CD pipeline operations
- Investigate AI-powered tools to optimize data engineering and automation workflows
Requirements
- Architect, build, and sustain ETL workflows and data transformation logic
- Develop and maintain data pipelines using Apache Spark
- Support cross-platform data integration projects
- Diagnose and resolve data inconsistencies and system errors
- Generate reports and visualizations using Qlik Sense
- Maintain high standards for data accuracy, system reliability, and processing efficiency
- Partner with business and technical teams to define and interpret data requirements
- Engage in Agile development cycles and enhance data solution methodologies
- Support DevOps principles and participate in CI/CD pipeline operations
Nice to Have
- Investigate AI-powered tools to optimize data engineering and automation workflows
