Builds data infrastructure and pipelines for customer-facing products, including data integration, large-scale pipelines, workflow management, and ML/AI real-time inference; implements experimentation platform using Java/Scala/Python and big data technologies like Spark, Kafka.
Data Engineer specializing in ML/AI, building scalable data pipelines, implementing ML models, and leveraging AWS cloud services (Glue, S3, Lambda) to process large structured/unstructured datasets for predictive analytics and business decision-making.
The role involves building and maintaining end-to-end data pipelines, processing structured and unstructured data, and implementing ML/AI models for predictions, primarily using AWS services and Python, to support business decision-making.
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