Big Data Modeler

Description

5 + years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. Financial Domain knowledge is plus.
Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 .
Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc
Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments .
Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc)
Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2
Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and DataGovernance team on a daily basis to analyze requirements, design, development and deployment technical solutions.
Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses
Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, DataDictionary, Data Mapping, Data Policy, and Data Governance.
Need to have at least 2 hours overlap with Pacific Timings to interact with Onsite team and to attend daily standup meetings.