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Data Engineer - Spark Developer

Data Engineer • Senior • Remote • Full-time Greece Greece

Data Engineer - Spark Developer role designing, developing, and optimizing big data pipelines using Apache Spark on Azure Databricks.

Responsibilities

  • Design, develop, test, deploy, maintain, and improve data pipelines
  • Code using Apache Spark on Azure Databricks
  • Design and develop big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure services

Requirements

  • Bachelor's degree in Computer Science or Software Engineering
  • Strong analytical skills, team- and quality-oriented, keen to learn and excel
  • Thorough knowledge of Apache Spark
  • Experience as a Data Engineer
  • Advanced knowledge of Python or Scala
  • Spark query tuning and performance optimization
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Fluency in verbal and written English

Nice to have

  • Understanding and analysis of DAG operations
  • Providing cost estimates for big data processing
  • Writing and reviewing architecture documents

Soft skills

Analytical skillsTeam and quality orientationEagerness to learn

What we offer

  • Competitive full-time salary
  • Private health coverage under the company's group program
  • Flexible working hours
  • Top-of-the-line tools
  • Professional development: language courses, specialized training, continuous learning
  • Career growth working with innovative specialists
  • Dynamic work environment with challenging goals, autonomy, and mentoring

About the company

EUROPEAN DYNAMICS is a leading European software, information, and communication technologies company operating internationally. It employs over 1,100 engineers, IT experts, and consultants, with current IT projects exceeding EUR 300 million in value. It is a renowned IT services supplier to EU institutions, international organizations, and government administrations in 40 countries.

Languages: Angol: Folyékony szint
Education: Alapszak informatika vagy szoftvermérnöki területen

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