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Data Engineer
3 weeks ago
Requirements:
- You are graduated with a Master's degree in Computer Science, Data Engineering or any related field
- Data & Engineering has been your world for at least 3-5 years
- Cloud service platform expertise; preferably Azure
- Hands-on experience working with Databricks (PySpark)
- Databases (like SQL Server or Netezza) don't have any secret for you
- Knowledge of at least three of these services: Azure Data Factory, Azure Synapse, Databricks, Azure SQL Database, Power BI, Spark, Python, Mongo DB, Azure Functions
- You are comfortable working in a diverse, complex and fast-changing landscape of data sources
- You care about agile software processes, data-driven development, reliability, and responsible experimentation.
- Capacity to work in an international environment using English
- Team player - having a sharing and collaborative mindset
- Autonomous, Rigorous, takes ownership at work
- Agile - flexibility to execute available tasks in a rapidly changing environment
The applications to develop features and support internal users and processes by solving maintenance and data quality issues and ensuring the efficient operation of our organization's systems.