Job Description :
You will partner with business partners to identity opportunities to leverage big data technologies insupport of Pharmacy Personalization with a common set of tools and infrastructure to make analyticsfaster, more insightful, and more efficient. You will build and architect next-generation Big Data machinelearning framework developed on a group of core Hadoop technologies. You will design highly scalable andextensible Big Data platforms which enables collection, storage, modeling, and analysis of massive datasets from numerous channels. You will define and maintain data architecture, focusing on applyingtechnology to enable business solutions. You will assess and provide recommendations on businessrelevance, with appropriate timing and deployment. You will perform architecture design, data modeling,and implement CVS Big Data platforms and analytic applications. You will bring a DevOps mindset toenable big data and batch/real-time analytical solutions that leverage emerging technologies. You willdevelop prototypes and proof of concepts for the selected solutions, and implement complex big dataprojects. You will apply a creative mindset to a focus on collecting, parsing, managing, and automatingdata feedback loops in support of business innovationnbsp;*Required Qualifications :3-5 years of professional IT experience including the following: Hands-on experience with “big data” platforms including Hadoop (preferably Hortonworks with Isiloncommodity hardware) and Spark as well as experience with traditional RDBMS (eg, Teradata, OracleProficiency in “big data” technologies including MapReduce, Spark, Airflow, Kafka, Hbase, Pig, NoSQLdatabases, etc.Proficiency in the following programming languages: Python, shell scripting, SQL (preferably Teradata andPL/SQL syntax) and Hive, Pig, Java, or ScalaAbility to design and build a framework to orchestrate data pipelines and ML modelsFamiliarity with data modeling, data architecture and governance concepts*Preferred Qualifications :Exposure to Healthcare Domain knowledge. Masters in Data Science or Business Analytics Proficiency in Rand/or PythonExperience with cloud computing environment (ideally Microsoft Azure) and the organizational risks oftransitioning from on-prem to cloud infrastrucuturenbsp;Experience with automation tools: eg, Jenkins, Airflow, Control-M*Education :B.S. Computer Science, Engineering, Astronomy/Physics, Economics, Math or related fieldsPlease send resumes to raghav at w3global dot com or call me at