A US-based Big Data Analytics company with offices in California, Chicago, and India (Kolkata and Pune). It works in the areas of Business Intelligence, Predictive Analytics, Natural Language Processing and Artificial Intelligence, and has several clients spanning the Healthcare, Retail and BFSI domains. The flagship platform - Xpresso.ai launches xpresso commerce™, an AI powered solution for conversational commerce. Features such as xpresso Smart Advisor, Personalization, Visual Intelligence and Analytics help retailers connect with and provide unparalleled shopping experience to their consumers.
Must be able to handle Denodo Virtual DataPort administrative activities such as setting up, upgrade, scheduler setup, etc.
Must have experience in Denodo view modeling and should be able to create a blueprint on how the Denodo views should be created.
Must know how to create various views in Denodo like base views, interface views, derived views, etc.
Must be aware of performance optimization techniques in Denodo - Caching, Query Delegation, Join strategies, Remote tables, etc.
Must be an expert in ANSI SQL paradigms like joins, group by and analytics functions, etc. Knowledge of the VQL language will be an added advantage.
Must knowledge of ETL, DW, RDBMS(Teradata Preferred).
Should know MPP architecture.
Should be familiar with Bigdata tools and technologies like presto, hive, spark, datalake, blob, etc. and how to integrate Denodo with these.
Must be able to understand business requirements and convert them into technical requirements.
Min 6 years to total experience in the IT industry.
Min 2 years of experience in Denodo as administrator/developer.
Min 4 years of experience in Bigdata and datalake implementation.