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Qualifications:
Expertise in distributed systems like Hadoop, Hive, and Spark for managing and processing big data.
Strong programming skills in languages like Python, Scala, or Java for AI/ML integration.
Java or Hadoop, Spark/Scala, strong skills and hands-on with relational SQL and NoSQL databases(Oracle, MongoDB) & Big Data querying tools e.g. Hive and Impala
Advanced knowledge of data quality metrics and profiling tools tailored for large-scale datasets.
Knowledge in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn for intelligent analytics will be added advantage
Messaging and Middleware Kafka
Experience with Java (OOP, Multithreading, Concurrency, Data structures etc.))
Experience with Business Reporting and Intelligence Tools such as Tableau
Experience with UI technologies, design, Rules Engines, Search technology(Angular, NodeJS etc.)
Education:
Time Type:
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