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3 дня назад

AWS Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
AWS Data Engineer (AI) (AWS/Redshift/Glue/Python/SQL): Building and maintaining enterprise risk analytics applications and cloud-based data pipelines for a large-scale financial services environment with an accent on AWS data engineering, data processing, and automation. Focus on optimizing Redshift workloads, developing Glue ETL pipelines, troubleshooting complex data issues, and applying AI-enabled automation in production data workflows.

Location: 5 days onsite in Birmingham, Alabama; Knoxville, Tennessee; Columbia, South Carolina; or Lafayette, Louisiana

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Develop, enhance, and maintain enterprise risk analytics applications in a large-scale financial services environment.
  • Build and improve cloud-based data pipelines and analytics solutions using AWS technologies.
  • Develop ETL and data processing workflows with Amazon Redshift and AWS Glue.
  • Design automation and CI/CD practices for reliable data solution delivery.
  • Troubleshoot complex data issues and provide production support.
  • Collaborate with cross-functional teams to drive solutions from requirements through implementation.

Requirements

  • 5+ years of hands-on AWS data engineering experience.
  • Experience with Amazon Redshift, data processing, and performance optimization.
  • Hands-on experience developing ETL and data pipelines with AWS Glue.
  • Strong Python development skills and advanced SQL skills for large datasets.
  • Experience with CI/CD pipelines, automated deployment, enterprise-scale data applications, data quality, troubleshooting, and production support.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

Nice to have

  • Exposure to Generative AI and AI-enabled automation use cases.
  • Financial services, enterprise risk, or risk analytics experience.

Culture & Benefits

  • Full-time, permanent direct-hire position.
  • Health and welfare benefits may include medical, dental, vision, spending accounts, life insurance, and voluntary plans.
  • Eligible employees may participate in a 401(k) plan.

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