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19 часов назад

Senior Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Python/AWS): Building and managing PostgreSQL database solutions and ETL pipelines for structured and unstructured data with an accent on database architecture, performance optimization, and batch and event-driven processing. Focus on designing scalable data platforms, automating deployments with CI/CD, and preparing data for AI and machine learning initiatives.

Location: Gurgaon, India; hybrid work environment

Company

hirify.global provides business and technology research, analysis, and insights to enterprise leaders worldwide.

What you will do

  • Architect, develop, and maintain PostgreSQL database structures, including tables, views, procedures, functions, and packages.
  • Optimize database performance, debug complex SQL queries, and ensure reliability and scalability.
  • Design and manage ETL pipelines with Python, AWS Glue, AWS Batch, and AWS S3.
  • Build batch and event-driven data processing architectures for large structured and unstructured datasets.
  • Implement CI/CD pipelines, automate deployments with Jenkins, and manage repositories with Git.
  • Prepare, process, and manage data for AI and machine learning model training and inference.

Requirements

  • 4+ years of hands-on data engineering experience, with strong PostgreSQL and preferably AWS RDS expertise.
  • Advanced SQL skills and experience designing, optimizing, and maintaining complex database solutions and objects.
  • Strong Python skills and experience with ETL pipelines, AWS Glue or AWS Batch, and AWS S3.
  • Experience with batch and event-driven processing, data migration, and large datasets.
  • Familiarity with Jenkins, Git, CI/CD, and Agile-Scrum environments.
  • Bachelor’s degree or foreign equivalent in Computer Science or a related field; strong communication, prioritization, and problem-solving skills.

Nice to have

  • Experience with AI and machine learning libraries and frameworks.

Culture & Benefits

  • Hybrid flexibility, with virtual work when productive and in-person collaboration when useful.
  • Opportunities for professional growth and skill development.
  • Inclusive teams spanning diverse geographies, cultures, and backgrounds.
  • Competitive compensation and benefits.
  • Equal employment opportunities and reasonable accommodations for qualified applicants.

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