• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Dec 2023

Must Have Skills
· 3+ experience in Snowflake database.
· 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
· Must have data modeling experience and expertise in SQL Experience with data warehouse, data lake (Azure , AWS), and enterprise big data platforms in multi-data-center contexts required.
· Good knowledge of metadata management, data modeling, and related tools ERWIN required.
· Good Hands on any ETL will be a plus.
· Good communication skill
Understanding into Data Modeling terminologies Responsible for Data Profiling tasks, including Granularity checks, Datatypes, Nullability, Anomalies, etc.

Detailed Job Description
Expertise ins Snowflake Database, designing and extend existing Architecture or Datawarehouse, Design logical and physical Data models, designing load strategy, data archival and designing data staging, transformation, and final layers. Understanding Business requirements and translating the same to Functional Requirements Specifications. Involve in data optimization, suggest improvements in overall data layer strategies and underlying database properties,

The candidate will:
· Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL), Star schema, Snowflake schema, Data vault. Also, to reverse engineer existing data models that exist to re-engineer and build common data model.
· Oversee and govern the expansion of existing data architecture on cloud and the work closely with architects for optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

Responsibilities
· Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
· Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models · Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
· Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
· Hands-on modeling, design, configuration, installation, performance tuning.
· Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.