IT - Data Analytics Consultant

Core Tasks:

• Maintain, improve, clean, and manipulate data in the business’s operational and analytics databases
• Design and deploy data platforms across multiple domains ensuring the operability
• Transform data for meaningful analyses
• Improve data efficiency, reliability, and quality
• Create data enrichment
• Build high performance
• Ensure data integrity
• Create and manage data stores at scale
• Ensure data governance - security, quality, access, and compliance

• Experience with healthcare data
• Knowledge 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 delivery
• 7+ years of experience working within the Software Development Life Cycle (SDLC)
• 4+ years of experience in Agile Delivery
• BS/BA or equivalent experience, * 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, Openshift
• Hands-on experience on working on CICD platform and monitoring - namely Github, Jenkins, Grafana, Prometheus.
• Experience and working exposure in a cloud environment, preferably Azure.