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Detailed Job Description:

5+ years of experience in Hadoop eco system (Ex: Hive, Spark, Kafka, hBase, Oozie, Sqoop etc)  3 to 5 years of hands on experience in architecting, designing, and implementing data ingestion pipes for batch, real-time, and streams on Azure cloud platform at scale. 3 to 5 years of hands on experience with Azure cloud especially with HDInsight (Azure), Spark, Blob storage etc technologies. Knowledge of SAS, Teradata, Oracle etc other databases is a plus Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred 1 to 3 years of experience in Java/Python/Scala. Having hands on experience in using Infoworks, Nifi, and Databricks will be an added advantage. Having exposure to R and ML technologies are a plus. Having experience in extracting/querying/Joining large amount data sets at scale is essential. Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred BA/BS required; preferably in Computer Science, Data Analytics, Data Architecture Highly analytical, motivated, decisive thought leader with solid critical thinking able to quickly connect technical and business ‘dots’ Has strong communication and organizational skills and able to deal with ambiguity while juggling multiple priorities and projects at the same time Able to understand statistical solutions and execute similar activities

Interview Process (Is face to face required?) No