Job Description

You’ll work at the intersection of data architecture, engineering, and analytics — enabling better decisions and stronger products.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Build and optimize data models for analytics and reporting
  • Integrate data from various sources (e.g., APIs, databases, third-party tools, blockchain nodes)
  • Ensure data quality, consistency, and governance across systems
  • Collaborate with data scientists, analysts, and product managers to understand data needs


Requirements

  • 2–5+ years of experience as a Data Engineer or in a related role
  • Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java)
  • Experience with data pipeline tools like Airflow, dbt, or Luigi
  • Familiarity with cloud data platforms (AWS, GCP, Azure)
  • Solid understan...

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