Data Engineer

Zoom

Base: $124,000.00 - $271,200.00; bonus/equity: inc...
Hybrid
8+ years data engineering experience
Expert sql and dimensional modeling
Apache airflow and kafka pipeline development
Zoom is seeking an experienced Data Engineer to join their Enterprise Applications team, focusing on enhancing marketing transaction systems through data integration and analytics. The ideal candidate should possess strong technical skills and a background in marketing data engineering, with a focus on building scalable data solutions

Job Summary

  • This role supports the Enterprise Applications team by collaborating with data analysts, scientists, and engineers to power marketing transaction systems.
  • The successful candidate will design scalable ETL/ELT pipelines and unify customer data across Zoom's ecosystem to enhance marketing effectiveness.
  • Zoom offers a structured hybrid work environment with award-winning benefits focused on physical, mental, and financial health.

Matching Summary

Match Score: 85

Zoom is seeking an experienced Data Engineer to join their Enterprise Applications team, focusing on enhancing marketing transaction systems through data integration and analytics. The ideal candidate should possess strong technical skills and a background in marketing data engineering, with a focus on building scalable data solutions.

Salary

Base: $124,000.00 - $271,200.00; Bonus/Equity: Included in Total Direct Compensation; Benefits: Comprehensive perks for health and work-life balance

Skills & Requirements

Must-have

  • 8+ years data engineering experience
  • Expert SQL and dimensional modeling
  • Apache Airflow and Kafka pipeline development
  • Snowflake and Databricks warehouse integration
  • Spark, Hive, and Trino distributed processing
  • AWS cloud platform expertise
  • Marketing attribution and customer journey analysis

Nice-to-have

  • Strong problem-solving and communication skills
  • Experience with Salesforce transaction platforms
  • Knowledge of deterministic and probabilistic matching
  • AI implementation for business productivity
  • Cross-functional collaboration with product teams

Key Requirements

  • Bachelor's or Master's in Computer Science or related field
  • 8+ years of experience in data engineering
  • Proven expertise in marketing attribution modeling

Work Rights

Not specified

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