Job Description

YOUR RESPONSIBILITIES:


  • Build and optimize ETL/ELT pipelines on Databricks using PySpark and Delta Lake, ensuring both performance and scalability.




  • Develop, train, and deploy machine learning and deep learning models (TensorFlow, PyTorch) into production environments.



  • Perform performance tuning on Spark jobs, data pipelines, and ML workloads.




  • Design and operate cloud-native architectures with Azure, Kubernetes, and Docker for deploying ML solutions.




  • Collaborate closely with data scientists and engineers to bring models from prototype to production.


    • YOUR PROFILE:


  • Master’s degree (or equivalent) in Computer Science, Data Engineering, or a related field.




  • At least 4 years of hands-on experience with Databricks in production environments.




  • Strong Python OOP skills, in...

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