Talent.com
Esta oferta de trabajo no está disponible en tu país.
Data Engineer - Latin America - Remote

Data Engineer - Latin America - Remote

JobgetherChile
Hace 15 días
Descripción del trabajo

Overview

This position is posted by Jobgether on behalf of Azumo. We are currently looking for a Data Engineer in Latin America.

As a Data Engineer, you will design, develop, and optimize scalable data infrastructure to power advanced analytics and machine learning initiatives. You will work closely with a collaborative team of engineers to build data pipelines, data warehouses, and BI platforms that transform raw information into actionable insights. This role offers the opportunity to work on cloud and on-premise architectures, using technologies like Spark, Kafka, and Snowflake, while contributing to high-impact projects in a fast-paced, remote-first environment. Your work will directly enable data-driven decision-making and innovation, helping organizations unlock the full potential of their data. The position encourages continuous learning, creative problem-solving, and professional growth.

Responsibilities

  • Design, implement, and maintain scalable data pipelines and analytics infrastructure
  • Develop and optimize data warehouses, ETL processes, and BI platforms for high performance
  • Collaborate with engineering and data science teams to ensure data quality, reliability, and accessibility
  • Monitor and troubleshoot data workflows, identifying and resolving issues proactively
  • Assist in integrating cloud-based and on-premise solutions for analytics and machine learning applications
  • Contribute to best practices for data architecture, coding standards, and operational efficiency
  • Support knowledge sharing, mentorship, and team development initiatives

Qualifications

  • BS or Master’s degree in Computer Science, Data Engineering, or related field, or equivalent experience
  • 5+ years of experience in data engineering, analytics infrastructure, or data management
  • Strong expertise in building data warehouses, big data systems, and ETL pipelines
  • Proficiency with data processing frameworks such as Spark, Kafka, or similar
  • Practical experience analyzing, visualizing, and transforming complex datasets
  • Experience with cloud-managed services (Airflow, Glue, Snowflake, Redshift, BigQuery, Databricks, etc.) is a plus
  • Familiarity with notebooks like Jupyter or Google Colab
  • Self-motivated, detail-oriented, and passionate about problem-solving
  • Strong communication skills and ability to work collaboratively in a fully remote team
  • Benefits

  • Paid time off (PTO) and U.S. holidays
  • Training and professional development support, including Udemy Premium access
  • Mentored career development and guidance for growth opportunities
  • Free English courses
  • Profit sharing and competitive USD-based remuneration
  • Fully remote work with flexibility and opportunities to work with international teams
  • Location : Santiago, Chile

    Referrals increase your chances of interviewing at Jobgether by 2x

    Sign in to set job alerts for “Data Engineer” roles.

    #J-18808-Ljbffr

    Crear una alerta de empleo para esta búsqueda

    Data Engineer • Chile