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Data Engineer (Databricks)

28 000 - 52 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Databricks) (C#/.NET, Apache Spark): Designing scalable data architectures and building data pipelines with an accent on Databricks, Apache Spark, ETL optimization, and data quality. Focus on developing .NET applications, implementing CI/CD and advanced monitoring, and improving the reliability of data processing workflows.

Location: Hybrid, Lisbon, Portugal

Salary: €28,000–€52,000 per year

Company

hirify.global is an IT consulting partner based in Portugal, with 18 years of experience and a focus on helping clients make technology decisions in a fast-moving market.

What you will do

  • Develop .NET and C# applications for data engineering use cases.
  • Build and maintain data pipelines with Apache Spark and Databricks.
  • Design scalable data architectures and optimize ETL processes.
  • Use Entity Framework, Dagster, Hangfire, Delta Lake, and AutoLoader in data workflows.
  • Apply Python and SQL to develop and manage data solutions.
  • Ensure data quality through CI/CD practices and advanced monitoring.

Requirements

  • 5+ years of experience in data engineering, with a strong focus on programming.
  • Professional experience with .NET and C# application development.
  • Experience building data pipelines with Apache Spark and Databricks.
  • Proficiency in Entity Framework, Dagster, Hangfire, Delta Lake, AutoLoader, Python, and SQL.
  • Ability to design scalable data architectures, optimize ETL processes, and implement data quality practices.

Culture & Benefits

  • No-term full-time contract.
  • Health insurance and 22 days of paid vacation.
  • Four additional paid days annually, including Carnival, Christmas Eve, New Year's Eve, and the employee's birthday.
  • Meal allowance on a Coverflex card, referral bonus, discounts, and flexible options.
  • Annual training budget and opportunities to work on challenging projects.

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