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Senior Data Engineer (Python/SQL/Snowflake/AWS) - Remote

Posted 5 hours ago
Software Development
Full Time
LATAM

Overview

The Senior Data Engineer will focus on designing and optimizing data pipelines using Python, Snowflake, Airflow, and AWS, collaborating closely with data scientists and analysts to support critical business decisions.

In Short

  • 70% Data Pipeline Development
  • Design and optimize ingestion, storage, and transformation pipelines
  • Build real-time data pipelines with AWS Lambda and Snowpipe
  • Collaborate with data scientists and analysts
  • Create internal and external data views
  • Participate in peer code reviews
  • Join sprint ceremonies for Agile collaboration
  • Coordinate deployments with PMs and IT
  • Ensure smooth release cycles
  • 5+ years of experience as a Data Engineer

Requirements

  • Strong expertise with Snowflake and orchestration tools like Airflow
  • Advanced Python and SQL programming skills
  • Hands-on experience with AWS services
  • Solid understanding of ELT pipelines and data modeling
  • Great communication and collaboration skills

Benefits

  • Contractor agreement with payment in USD
  • 100% remote work
  • Access to English classes
  • Referral program
  • Access to learning platforms
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Darwoft

Darwoft is a forward-thinking technology company specializing in the development of scalable and secure SaaS applications. With a strong emphasis on architectural leadership and modern technology adoption, Darwoft focuses on microservices architecture and the integration of cutting-edge tools to enhance application performance. The company fosters a collaborative environment where product managers, stakeholders, and engineering teams work together to translate business needs into innovative technical solutions. Darwoft is committed to maintaining high standards of security and compliance while optimizing system performance to meet growing user demands. The company values mentorship and professional growth, offering opportunities to work with advanced technologies in a supportive and diverse workplace.

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