Remote Otter LogoRemoteOtter

Data Engineer - Remote

Posted 11 hours ago
Software Development
Full Time
Argentina

Overview

The Data Engineer will collaborate with Architects to develop high-quality data pipelines for research, operations, and public web applications, supporting current and future reporting and analytics solutions.

In Short

  • Architect, design, and build scalable data pipelines.
  • Establish best practices for data ingestion and transformation.
  • Design complex data models and schemas.
  • Champion modern data modeling strategies.
  • Enhance data platform infrastructure.
  • Optimize performance of SQL Server and PostgreSQL databases.
  • Collaborate with teams to translate business goals into data solutions.
  • Identify automation opportunities and streamline operations.
  • Maintain comprehensive technical documentation.
  • Ensure architectural consistency and data security.

Requirements

  • Bachelor’s degree in Computer Science or equivalent.
  • 8+ years of experience in data engineering.
  • Expertise in Azure Data Factory, SQL Server, and PostgreSQL.
  • Knowledge of data warehousing principles and ETL/ELT development.
  • Experience with cloud services, preferably Azure.
  • Proficiency in Python and/or Scala.
  • Excellent problem-solving skills.
  • Proven leadership ability in delivering data solutions.
  • Strong communication and collaboration skills.
  • Familiarity with machine learning methodologies.

Benefits

  • Opportunity to work on innovative data projects.
  • Collaborative work environment.
  • Professional development opportunities.
  • Access to the latest technologies.
  • Flexible working arrangements.
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Distro

Distro is an innovative AI-driven startup focused on developing and optimizing machine learning systems that provide actionable business insights. With a commitment to leveraging cutting-edge technology, Distro aims to build scalable AI solutions that simplify operations for businesses. The company fosters a collaborative environment where experienced professionals can contribute to shaping AI infrastructure from the ground up, making it an exciting opportunity for those passionate about AI and machine learning.

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