5 + years of experience in Data Modeling & Data Analytics, and should have excellent communication and leadership skills. Financial Domain knowledge is a plus. Should have a strong understanding of cloud Data Warehouse like Snowflake and Data modelling skills using Data Vault 2.0. Should have an in-depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources/tools such as Hive, 53, Icino, 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 similar big data 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 daily to analyze requirements, design, development,t and deployment technical solutions. Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses Should have in in-depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance. Need to have at least 2 hours overlap with Pacific Time to interact with Onsite team and to attend daily standup meetings. Nice to know SSIS ETL packages; need to analyze and troubleshoot these packages. Analyze legacy ETL packages that were built in SSIS and convert them to ELT logic. Handling of various sources like RDBMS, Files like Elatfile, Json, Realtime Kafka messages.