Summary
ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytical data models, working with modern data tools to deliver reliable data solutions.
Responsibilities
- Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions
- Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion (Fivetran, Kafka), transformation and modeling (dbt, Snowflake), and Level 1 support for pipeline failures, monitoring, and data quality
Skills
- Strong SQL skills
- Python for data pipelines and automation
- Snowflake
- Dbt
- Fivetran
- Kafka
- Data modeling
- ETL/ELT pipeline development
- Data quality and governance
- Monitoring and performance optimization
Qualifications
Must Haves
- Strong SQL skills
- Python for data pipelines and automation
- Snowflake
- dbt
- Fivetran
- Kafka
- Data modeling
- ETL/ELT pipeline development
- Data quality and governance
- Monitoring and performance optimization