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16 часов назад

IT Internship Program: Analytics & Data Engineering

110 000₽
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Russia
Релокация
Russia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
IT Internship Program: Analytics & Data Engineering (Azure/Python/SQL): Building data pipelines, automating ETL processes, and analyzing business data through an intensive internship with an accent on data engineering, data analytics, and project management. Focus on designing cloud data solutions, creating visualizations and forecasting models, and solving real business problems with Azure, Databricks, Power BI, Python, and SQL.

Location: Moscow, Moscow Oblast, Russian Federation. Candidates must be based in Moscow or ready to move to Moscow with company support. Hybrid schedule with flexible working hours.

Salary: 110,000 RUB gross per month. Monthly lunch and flexibility allowance: 5,000 RUB gross.

Company

P&G is a global consumer goods company with an IT community working on business and technology projects.

What you will do

  • Lead, own, and implement an individual live business project during the 3–6 month internship.
  • Work on the Data Engineering track by designing technical solutions to acquire, process, and store data, automating and optimizing ETL processes, and building data pipelines.
  • Work on the Data Analytics track by gathering, cleaning, and analyzing data, creating visualizations and reports, conducting root-cause and comparative analyses, and developing statistical forecasting models.
  • Develop practical Project Management skills and contribute to project delivery.
  • Participate in training sessions and learn from the local and global P&G IT communities.

Requirements

  • Final-year student or recent graduate, with graduation no more than two years ago.
  • Python and SQL programming skills.
  • Hands-on experience writing clean and effective code.
  • Good command of English at Upper-Intermediate level or higher.
  • Demonstrated strength in Project Management, Data Engineering, or Data Analytics, with sufficient understanding of the other two areas.

Nice to have

  • Knowledge of or experience with CI/CD tools.
  • Knowledge of SCRUM and DevOps methodologies.
  • Experience with Big Data ecosystems such as Hadoop or Azure.
  • Experience with business intelligence tools such as KNIME, Power BI, Tableau, or Spotfire.
  • Education in Statistics, Mathematics, Applied Informatics, Business Management, or a similar field.

Culture & Benefits

  • Three- to six-month intensive internship with a customized learning plan, coaching, mentorship, and formal training.
  • Access to a training portfolio including Microsoft certifications, Coursera, and other professional courses.
  • Hybrid schedule and flexible working hours.
  • Relocation support when relocating more than 50 km from the permanent residence.
  • Access to a corporate discount provider.
  • No immigration sponsorship is available for this position.

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