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Data Engineer, SQL
ActiveProspectData Engineer building and maintaining scalable data pipelines and analytical data models at ActiveProspect. Reliably delivering accurate data solutions using modern data stack of SQL, Snowflake, dbt, Fivetran, Kafka, and Python.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in building and maintaining data infrastructure, ensuring data quality and governance, and developing ETL/ELT pipelines for analytics and business decision support. Proficient in SQL, Python, and various data tools to optimize performance and monitor data integrity.
Highest-signal resume keywords
Strong SQL SkillsPython For Data PipelinesSnowflakeETL/ELT Pipeline DevelopmentData Quality And Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData ModelingETLELT
Tools & Technologies
SnowflakeDbtFivetranKafka
Industry Keywords
Data QualityData GovernancePipeline IngestionMonitoringPerformance Optimization
Tech Stack
Tools & technologiesETLKafkaPythonSQL
About the role
Key responsibilities & impact- 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, transformation and modeling, and Level 1 support for pipeline failures, monitoring, and data quality.
Requirements
What you’ll need- 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
Benefits
Comp & perks- Health insurance
- Paid time off
- Professional development opportunities