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7 дней назад

Data Engineer (AWS)

Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
CR
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
Data Engineer (AWS) (AWS/data engineering): Build and support scalable cloud-based data solutions and pipelines for pharmaceutical enterprise and laboratory systems with an accent on AWS data services, SQL, big data processing, and system integration. Focus on developing transformations with Python, Scala, or PySpark, optimizing distributed queries, and ensuring data quality and reliable processing.

Location: Hybrid in Prague, Czechia

Company

hirify.global is an IT consultancy firm delivering software, AI, ML, BI, web, and automation solutions for startups, mid-sized companies, and large corporations across multiple industries.

What you will do

  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Build cloud data solutions with S3, AWS Glue, and Athena.
  • Develop and optimize SQL queries on distributed data platforms such as Trino, Presto, or Databricks.
  • Develop data transformation processes with Python, Scala, or PySpark.
  • Integrate enterprise and laboratory systems, including SAP, GLIMS, and Veeva.
  • Ensure data quality, reliability, efficient processing, and continuous improvement in collaboration with data, IT, and business teams.

Requirements

  • Bachelor's degree in Computer Science, IT, Engineering, or a related field.
  • Hands-on experience with AWS, especially S3, Glue, and Athena.
  • Strong SQL skills and experience with Trino, Presto, or Databricks.
  • Strong programming skills in Python, Scala, or PySpark.
  • Experience integrating ERP and laboratory systems.
  • Fluent English required. Strong analytical, communication, and teamwork skills are also expected.

Nice to have

  • Experience with Agile and CI/CD environments.
  • Knowledge of GxP and data integrity requirements.
  • Previous experience with SAP ERP.
  • Experience in pharmaceutical manufacturing or life sciences.

Culture & Benefits

  • Full-time position in a hybrid work model.
  • Collaboration with data, IT, and business teams in an Agile environment.
  • Work on data engineering solutions supporting pharmaceutical and laboratory operations.

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