Must have 15-17 years of experience in IT industry with a minimum of 12 years of experience in building application architecture for OLTP systems using Java / JEE / JVM platform.
Extensive experience working with large data sets with hands-on technology skills to design and build robust OLTP data architecture.
Extensive experience in data modeling and database design involving any combination of -
o Data warehousing and Business Intelligence systems and tools
o Open source Hadoop stack
At least 6+ years of hands-on experience in Hadoop stack and at least two big data technologies/tools listed below;
o NoSQL database Cassandra | Mongo DB etc.,
o Stream processing engines Spark | Storm
o Analytical processing on Big Data using Spark | R
o Analytical insights Visualization using open source and commercial products like Hue | Tableau | D3JS
Big Data implementation on Azure | AWS PaaS will be added advantage
At least 3+ years of cloud deployment experience AWS | Azure | Google Cloud Platform
At least 3+ product deployments of big data technologies Business Data Lake, NoSQL databases etc.
Good awareness of data integration using ETL / data virtualization tools, security, MDM, and APIs
Awareness and decision making ability to choose among various big data, no sql, and analytics tools and technologies
Should have experience in architecting and implementing domain centric big data solutions
Experience as Big Data and Analytics Technologist in leading large engagements
Experience in leading large data & transformation projects using big data technologies
Experience in building tools/frameworks/solution accelerators
Ability to frame architectural decisions and provide technology leadership & direction
Excellent problem solving, hands-on engineering, and communication skills