Python Developer
PRACYVA
Role Description
Comprehensive know-how of Python programming, especially in the use of RESTful APIs and libraries such as Pandas (e.g. DataFrames)
Development and maintenance of python-based models in the Cloud conversing with multiple data sources including data lakes, relational, and functional databases
Experience of using Data Integration Services such as Azure Data Factory
Experience of TM1Py, TM1 itself, and Azure Kubernetes is beneficial
Broader experience of Apache Spark (Databricks), Business Intelligence (Power BI), and Machine Learning also beneficial.
Expertise level
Work arrangement
Key skills
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