Campaignswell

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Data Analytics Engineer

Summary

Designs, builds, and maintains data pipelines and a Snowflake-based data warehouse for a performance-marketing analytics platform using Data Vault, dbt, and ELT workflows.

Build and maintain the data warehouse and pipelines for a performance-marketing analytics platform.

Responsibilities:

  • Investigate, diagnose, resolve data issues across the DWH
  • Design/build/maintain scalable pipelines and DWH models using Data Vault
  • Implement/maintain ELT; design Snowflake data layers using dbt
  • Enforce data validation and quality checks
  • Document findings, decisions, architecture changes
  • Collaborate with Data Scientists and Customer Success Analytics

Requirements:

  • 5+ years data/analytics engineering
  • Hands-on Data Vault architecture (must-have)
  • Excellent SQL and Python; hands-on dbt
  • OLAP warehouses, specifically Snowflake
  • Workflow orchestration (Apache Airflow or equivalent)
  • Distributed messaging (Apache Kafka or similar); AWS
  • English B1
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