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Senior Data Specialist, Snowflake - Remote

Posted 1 week ago
Data Analysis
Contract
LATAM
Competitive USD/hour

Overview

This role involves joining a specialized VC firm focused on technology-enabled financial services as a Founding Data Engineer, responsible for designing and implementing a core data platform for a new insurtech venture.

In Short

  • Design and maintain Snowflake data models.
  • Build and manage data ingestion and processing pipelines.
  • Architect event-driven data ingestion using AWS services.
  • Implement Snowpipe, Streams, and Tasks in Snowflake.
  • Ensure data quality, reliability, and security.
  • Collaborate on data modeling for reporting.
  • 5+ years of experience in data engineering required.
  • Strong experience with Snowflake and SQL.
  • Contract position with potential extensions.
  • Remote work available in Latin America.

Requirements

  • 5+ years in data engineering.
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field.
  • Strong experience with Snowflake schema and table design.
  • Experience with event-driven pipelines and ETL processes.
  • Strong understanding of data modeling and warehouse design.
  • Ability to collaborate with engineering and product teams.

Benefits

  • Competitive USD hourly rates aligned to experience.
  • Remote work flexibility.
  • Potential for contract extensions based on performance.
HopHR logo

HopHR

HopHR is an innovative staffing and recruiting firm dedicated to connecting emerging talent in AI, ML, and Data Science from Latin America with transformative projects worldwide. Utilizing advanced AI technology, HopHR meticulously evaluates a vast pool of candidates, ensuring that only the most qualified individuals are presented for consideration. The company is committed to breaking down geographic barriers, providing high-paying, future-oriented job opportunities that not only enhance the careers of talented individuals but also contribute positively to their communities. Join HopHR in redefining the future of work in an AI-driven landscape.

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