Data Modeller

Role name : Modeller Role Description : Job Description : 7 + years of experience in Data Modeling & Data Analysis 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 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 DB2Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions.Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehousesShould have 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. Competencies : Digital : BigData and Hadoop Ecosystems, Data Concepts & Data Modelling, Banking and Financial Technology

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.