Data Engineer – Spark Developer
EUROPEAN DYNAMICS
full-time
Posted on:
Location Type: Remote
Location: Greece
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About the role
- Design, develop, test, deploy, maintain, and improve data pipelines
- Coding 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.
Benefits
- Competitive full-time salary
- Private Health Coverage on the Company’s group program
- Flexible Working Hours
- Top-of-the-Line Tools
- Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities
- Career Growth: Work with some of the most innovative and exciting specialists in the industry
- Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Apache SparkPythonScaladata pipelinesbig data architecturesSpark query tuningperformance optimizationAzure Data FactoryAzure Databrickscloud platforms
Soft Skills
analytical skillsteam-orientedquality-orientedkeen to learnexcelcommunication
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering