Added
7 hours ago
Type
Full time
Salary
Salary not provided

Related skills

data engineering python pyspark

πŸ“‹ Description

  • Lead the development, evolution, and maintenance of data services and solutions supporting
  • Design efficient and scalable data models using appropriate approaches such as normalization
  • Develop and maintain data ingestion, processing, validation, security, control, and data
  • Assess and improve data architectures and engineering processes to enhance performance
  • Evaluate data pipeline solutions based on latency, throughput, accuracy, scalability, reliability
  • Analyze business and data requirements to inform data modeling decisions and help create data

🎯 Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems
  • Proven experience in data engineering, including the development and maintenance of scalable data
  • Advanced English proficiency, with strong written and verbal communication skills.
  • Strong knowledge of data modeling concepts, including normalization, denormalization, dimensional
  • Solid programming experience with Python, PySpark, Scala, and SQL, with the ability to evaluate and
  • Strong understanding of data pipeline architecture, including ingestion, processing, provisioning

🎁 Benefits

  • Performance-based bonus*
  • Attendance bonus*
  • Private pension plan
  • Meal allowance
  • Casual office environment and dress code
  • Additional days off*
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