Data Engineer - Spark Developer

Stack

Responsibilities

• ▹Design, develop, test, deploy, maintain and improve data pipelines
• ▹Develop with 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
• ▹Thorough knowledge of Apache Spark
• ▹Experience as a Data Engineer
• ▹Advanced knowledge of Python or Scala
• ▹Experience in 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
• ▹Ability to provide cost estimates for big data processing
• ▹Ability to write and review architecture documents

Soft skills

What we offer

• ▹Competitive full-time salary
• ▹Private health coverage
• ▹Flexible working hours
• ▹Top-of-the-line tools
• ▹Language courses, specialized training and continuous learning opportunities
• ▹Career growth working with innovative specialists
• ▹Dynamic work environment with challenging goals and mentoring

About the company

EUROPEAN DYNAMICS (ED) is a leading European Software, Information and Communication Technologies company operating internationally (including Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valletta, Vienna, Den Haag, Hong Kong). The company employs over 1100 engineers, IT experts and consultants (around 3% PhD, 41% MSc and 54% BSc). It designs and develops software applications using integrated, state-of-the-art technology; current IT projects exceed EUR 300 million in value. EUROPEAN DYNAMICS is a renowned supplier of IT services to EU institutions, international organizations, EU agencies and national government administrations in 40 countries across 4 continents.