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Build and maintain robust data pipelines on Databricks and Spark, industrialize data platforms, and contribute to AI/ML use cases in a hybrid setup.
Build and deploy data pipelines, cloud data platforms, and ML systems for clients using Databricks, Spark, AWS, and MLOps tooling.
Senior Data Engineer building scalable data pipelines and Lakehouse architectures on Databricks and AWS, using Spark, Python, and ML tools to deliver end-to-end data solutions for enterprise clients.
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