Data ModelingStar SchemaPython
Локация
Азербайджан
Опыт
Middle
Занятость
Полная занятость
Зарплата
Не указана
Опубликовано
27 марта 2026
Навыки и технологии
О роли
About The Role
We are hiring a Data Engineer to build and maintain compliant, privacy-safe data infrastructure that powers audience development and marketing intelligence systems. This role ensures all data pipelines operate using aggregated, historical signals—never real-time incident or individual-level data.
Key Responsibilities
We are hiring a Data Engineer to build and maintain compliant, privacy-safe data infrastructure that powers audience development and marketing intelligence systems. This role ensures all data pipelines operate using aggregated, historical signals—never real-time incident or individual-level data.
Key Responsibilities
- Build and maintain ETL/ELT pipelines
- Develop reusable inference layers
- Create audit-ready segmentation workflows
- Implement governance controls (lineage, validation, logging)
- Perform geospatial aggregation (ZIP, county, corridor)
- Collaborate with Growth and Compliance teams
- Reliable, monitored pipelines
- Governed inference layer library
- Standardized segmentation workflows
- Improved audience performance
- Strong SQL and data modelling
- Python proficiency
- Cloud platforms (AWS, GCP, Azure)
- Data warehouses (Snowflake, BigQuery, Redshift)
- Data governance experience
- Aggregated geospatial data experience
- Understand inference vs. knowledge
- Use only aggregated historical data (45+ days old)
- No real-time or individual-level data usage
- Vendor diligence and audit logging
- Marketing segmentation experience
- Privacy frameworks (CCPA, GDPR, TCPA)
- dbt, Airflow, Dagster, Spark
- Compensation is based on experience, skills, and location and will be competitive within the global market.
О компании
Reliance Automated Verified Leads, LLC
Marketing Services · 11-50
All the tools you need to grow in one place | RAVLCO provides a turnkey data-intelligence platform that helps mid-size and enterprise services companies source, verify, and enrich high-intent leads—all within a unified client engagement system. We combine multi-channel outreach (compliant email, SMS, WebChat, voicemail drops, digital ads, and payment funnels) with deep data enrichment—including credit attributes, public records, and sentiment analytics—to deliver fully orchestrated “lead-to-loyalty” workflows. Our platform helps complex teams scale pipeline generation, ensure compliance, and improve relationship management without adding operational overhead.
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