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Responsibilities Undertake the processing of structured and unstructured data to utilize in data science activities. Support the data analysis of large information to discover trends and patterns and provide feedback to the business. Assist in designing
Responsibilities Design and manage high-throughput, low-latency data pipelines using distributed computing frameworks. Build scalable ETL/ELT workflows using tools like Airflow and Spark. Work with containerised environments (e.g., Kubernetes, Open Shift) and real-time data platforms (e.g., Apache Kafka,
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