Job Description

YOUR RESPONSIBILITIES:


  • Develop and maintain data pipelines (ETL) using Python and PySpark.




  • Ensure data management and data quality throughout the entire data lifecycle.




  • Develop and maintain data applications and user interfaces using TypeScript.




  • Support Machine Learning workflows by preparing, transforming, and validating data for model training and inference.




  • Demonstrate a basic understanding of data orchestration concepts, including scheduling, dependencies, and workflow management.




  • Participate in the deployment and integration of Machine Learning models into data pipelines and applications.




  • Participate in the support and maintenance of production data environments.




  • Collaborate with technical and business teams to understand data and analytical requirements.


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