Key skills
SQLETLELTData EngineeringData WarehousingAnalyticsBusiness IntelligenceSnowflakedbtFivetranPerformance Optimization
About this role
Dice is seeking an experienced Senior Data Engineer with a strong background in modern cloud data engineering technologies. The role involves designing and maintaining scalable data pipelines, managing data transformations, and delivering analytics solutions in production environments.
Responsibilities:
- Design, develop, and maintain scalable enterprise data pipelines
- Implement and optimize ELT/ETL processes using modern data engineering tools
- Utilize Fivetran for data ingestion and integration workflows
- Build and manage transformation frameworks using dbt in production environments
- Develop and maintain cloud data warehouse solutions using Snowflake
- Ensure data quality, consistency, and integrity across multiple data sources
- Optimize data models and improve overall platform performance
- Collaborate with analytics, reporting, and business teams to support data-driven initiatives
- Troubleshoot and resolve data pipeline and performance issues
- Implement best practices for data governance and engineering standards
- Participate in architecture discussions and provide technical recommendations
- Support production deployments and ongoing enhancements
Requirements:
- 10+ years of Data Engineering experience
- Strong hands-on experience with Fivetran (Mandatory)
- Production experience with dbt (Mandatory)
- Strong hands-on experience with Snowflake (Mandatory)
- Experience designing and maintaining ETL/ELT pipelines
- Experience with data modeling and data warehousing concepts
- Strong SQL and data transformation skills
- Experience handling large-scale datasets and enterprise data platforms
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to work effectively in a fast-paced environment
- Experience with cloud-based data platforms and modern analytics architectures
- Familiarity with data orchestration and workflow automation tools
- Experience with reporting and business intelligence ecosystems
- Knowledge of data governance and performance optimization techniques
- Experience supporting enterprise-scale data initiatives