Job description

Job Description:Core Tasks:Maintain, improve, clean, and manipulate data in the business's operational and analytics databasesDesign and deploy data platforms across multiple domains ensuring the operabilityTransform data for meaningful analysesImprove data efficiency, reliability, and qualityCreate data enrichmentBuild high performanceEnsure data integrityCreate and manage data stores at scaleEnsure data governance - security, quality, access, and compliance Required Qualifications:Experience with healthcare dataKnowledge and understanding of health care privacy and security practices" 6+ years of designing, coding and supporting distributed, data-intensive systems at scale"" 3+ years of non-relational (NoSQL, Big Data) delivery"" 4+ years of development experience with BIG Data technology stack (e.g. Hadoop, MapR, Talend, PIG Scripting, HBase, HIVE, SPARK); Relational databases; and Test automation in Linux/Windows environments"" 3+ years in Dev Ops Automation tools (Oozie, Python, etc.)"" Excellent communication skills with the ability to describe data/capability stories" (and not defects) and explain value (and not resolution) to customers."" Experience in delivering Data Platforms"6+ years of relational database delivery7+ years of experience working within the Software Development Life Cycle (SDLC)4+ years of experience in Agile DeliveryBS/BA or equivalent experience Preferred Qualifications:Hands-on experience in programming languages - Go, python, scala, java.Hands-on experience in full automated testing framework (unit & integration) cucumber, Spock, Go unit test, Junit.Hands-on experience of big data and streaming frameworks - Kafka, Hadoop, Hive, Spark, HDFS.Hands-on experience on using PAAS like - Kubernetes, OpenshiftHands-on experience on working on CICD platform and monitoring - namely Github, Jenkins, Grafana, Prometheus.Experience and working exposure in a cloud environment, preferably Azure

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