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2 дня назад

Big Data Architect (AWS)

Формат работы
remote (только Colombia/Mexico)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico/Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Big Data Architect (AWS): Designing and implementing scalable data platforms and processing solutions within AWS environments with an accent on batch and streaming architectures. Focus on building data pipelines for AI-driven workloads, orchestrating workflows with Airflow, and optimizing distributed data processing.

Location: Must be based in Colombia (Remote/Office)

Company

hirify.global is a global engineering and technology company specializing in data and analytics solutions.

What you will do

  • Design and implement scalable data platforms and processing solutions using AWS services.
  • Define and maintain data architectures supporting batch, streaming, and analytical workloads.
  • Collaborate with stakeholders to translate business requirements into technical solutions and implementation plans.
  • Manage workflows and data pipelines using orchestration tools like Apache Airflow or MWAA.
  • Implement real-time data processing solutions using Apache Kafka, Amazon MSK, or Kinesis.
  • Create architecture documentation, data schemas, and develop prototypes for innovation initiatives.

Requirements

  • Proven experience designing scalable data platforms and data pipeline architectures.
  • Strong expertise in AWS cloud services for data engineering and analytics workloads.
  • Proficiency in Python and SQL.
  • Experience with big data technologies such as Apache Spark, Databricks, or similar frameworks.
  • Practical experience with Apache Airflow/MWAA and streaming technologies (Kafka, MSK, Kinesis).
  • English: Upper-intermediate (B2) or higher required.
  • Location: Must be based in Colombia.

Nice to have

  • Experience with video, image, or audio processing pipelines for AI applications.
  • Experience with IoT data platforms and processing solutions.
  • Familiarity with NVIDIA technologies, GPU-accelerated computing, or AI infrastructure.

Culture & Benefits

  • Collaborative and innovation-driven engineering environment.
  • Opportunities to explore emerging technologies and experiment with new approaches.
  • Commitment to being an equal opportunity employer.

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