Sr Big Data Modeler

• 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 knowledge of SSIS ETL packages and need to analyze existing business logic and convert them into modern ELT approach.

• 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 DB2

• Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance 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, Data Dictionary, 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