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4 дня назад

Big Data Engineer

Формат работы
remote (только Argentina/Uruguay/Colombia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Chile/Colombia +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Big Data Engineer (Spark/Kafka/Snowflake): Developing scalable, high-performance big data infrastructure, data pipelines, warehouses, and analytics platforms with an accent on cloud and on-premise computing. Focus on designing data warehouses, integrating managed cloud services, and supporting BI and ML platforms.

Location: Remote within Latin America: Argentina, Uruguay, Colombia, Chile, or the Dominican Republic

Compensation: USD remuneration; amount not specified

Company

hirify.global is a San Francisco-based software development firm specializing in AI software development, data, cloud, generative AI, intelligent automation, and machine learning solutions.

What you will do

  • Design and develop scalable, high-performance big data infrastructure for on-premise and cloud environments.
  • Build and enhance data pipelines, data services, data warehouses, BI platforms, and ML platforms.
  • Work with Spark, Kafka, Snowflake, or similar big data frameworks.
  • Manipulate, analyze, and visualize data to support analytics initiatives.
  • Collaborate with engineers and contribute to solving complex technical problems.

Requirements

  • Bachelor’s or master’s degree in computer science, a related field, or equivalent experience.
  • 5+ years of experience in data-related and data management responsibilities.
  • Deep expertise in designing and building data warehouses and big data analytics systems.
  • Practical experience manipulating, analyzing, and visualizing data.
  • Professional English proficiency at B2/C1 level.
  • Self-driven approach, strong work ethic, and passion for problem solving.

Nice to have

  • Experience with Airflow, Glue, Elastic Stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Database, EMR, Azure, Databricks, Altiscale, or Qubole.
  • Experience using Jupyter, Google Colab, or similar notebooks.

Culture & Benefits

  • 100% remote work.
  • Paid time off and U.S. holidays.
  • Mentored career development.
  • USD remuneration and profit sharing.
  • Maternity coverage.
  • Opportunities for continuous learning, open-source initiatives, philanthropy, and knowledge sharing.

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