Must have hands on technical experience in delivering data engineering solution, with knowledge in data science and modeling experience in delivering data science projects in a Big Data environment. At least 3 years of relevant work experience in implementing data and analytics projects. Insurance, Health care and/or Financial Services experience is preferred but not mandatory Hands-on Experience with Hadoop tools PySpark, HDFS, Hive, Impala, Sqoop, Scala, Flume, Spark, HBASE etc., Experience in building M/L modeling algorithms and deployment, establishing correlations, selecting the right algorithms, data quality assessment, imputing and transformation. Experience with Hadoop, relational databases and SQL, ETL development, data validation and enabling for M/L layer Knowledge on MS Azure Excellent written, verbal and interpersonal skills, a must as there will be significant collaboration with the business and IT Associated topics: .net, c c++, developer, devops, java, matlab, programming, sde, sdet, software development engineer
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