Big Data
D as given below:
• >10 yrs. of architecting and designing data warehouse experience including Big Data ecosystem. • Architecting, Planning & Implementation of end-to-end Data Warehouse and Business Intelligence systems utilizing best practices of Data (Architecture, Integration & Management) areas. • Strong architecting, programming, design skills and proven track record of architecting and building large scale, distributed big data solutions. • Big data technology stack experience like - Hadoop, NoSQL, Spark (Streaming), Scala, Java/Python, Kafka, Splunk and real time streaming technologies and host of big data open source stack. • Establish data standards and templates to improve quality and integrity of data • Develop Hadoop solutions to store and retrieve company information • Install and configure information systems to ensure functionality • Analyze structural requirements for new software and applications • Migrate data from legacy systems to new solutions • Good to have experience developing scalable systems for cloud-native Machine Learning/Deep Learning, Computer Vision and Marketplace place technologies. • Proven experience migrating data from relational databases to cloud enabled database to provide deep insight analytical products across channel. • TOGAF Certification would be big plus | ||||