Responsibilities
- Design and manage ETL workflows and data transformation logic
- Build and maintain data pipelines using Apache Spark
- Support cross-platform data integration efforts
- Diagnose and resolve data integrity and performance problems
- Generate reports using Qlik Sense
- Maintain high standards for data accuracy, consistency, and system efficiency
- Partner with business and technical teams to define and evaluate data needs
- Engage in Agile development cycles and help refine data solution practices
- Support DevOps methodologies and continuous integration/deployment pipelines
- Investigate AI-powered tools to enhance data engineering and automation workflows
Requirements
- Design and manage ETL workflows and data transformation logic
- Build and maintain data pipelines using Apache Spark
- Support cross-platform data integration efforts
- Diagnose and resolve data integrity and performance problems
- Generate reports using Qlik Sense
- Maintain high standards for data accuracy, consistency, and system efficiency
- Partner with business and technical teams to define and evaluate data needs
- Engage in Agile development cycles and help refine data solution practices
- Support DevOps methodologies and continuous integration/deployment pipelines
Nice to Have
- Investigate AI-powered tools to enhance data engineering and automation workflows
Preferred
Explore and leverage AI-assisted tools to improve data engineering and automation processes
