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Data Pipeline Engineer - Remote

Posted 11 weeks ago
Data Analysis
Full Time
Argentina

Overview

We are currently looking for skilled Data Pipeline Engineer with a strong background in Python to design and optimize data processing pipelines. You’ll play a key role in handling large volumes of data, ensuring efficiency, reliability, and scalability.

In Short

  • 5+ years of experience with a strong focus on Python for data processing.
  • Proficiency in AWS, with strong knowledge of cloud-based data infrastructure.
  • Experience working with PostgreSQL Aurora and familiarity with other database systems.
  • Excellent written and spoken English communication skills.
  • Curiosity and a proactive approach to problem-solving.
  • A passion for building things and optimizing workflows.
  • Design and implement efficient data ingestion pipelines using Python.
  • Create reusable scripts for processing various data formats.
  • Optimize existing data loading processes for better performance.
  • Develop and maintain a robust testing suite for data pipelines.

Requirements

  • Implement data validation and error-handling mechanisms.
  • Collaborate with team members to understand new data requirements.
  • Document code and create technical specifications.

Benefits

  • Educational resources
  • Flexible schedule and Work From Anywhere
  • Referral Program
  • Supportive and chill atmosphere
  • Trajectory recognition plan
Software Mind logo

Software Mind

Software Mind is a dynamic company that develops impactful solutions for clients worldwide, including tech giants and unicorns. The company focuses on building cross-functional engineering teams that take ownership of their projects, fostering a culture of openness, respect, and creativity. With a commitment to transformative projects and emerging technologies, Software Mind offers limitless opportunities for talented individuals. The company values a balance between work and enjoyment, ensuring that its employees thrive in a supportive and engaging environment.

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