Snowflake Data Modeler

2 weeks ago

India Tietoevry Full time

Experience Range 12 - 15 Years
- Open
- Skills_ _Snowflake Data Modeler_
- About Us
- About EVRY USA
- EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing sectors. EVRY India's process and project maturity is very high — the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013
- Roles and Responsibility
- Job Summary

Pre-requisites10+ years of experience in data modeling, data architecture, or data engineering roles.

4+ years of experience modeling data in Snowflake or other cloud data warehouses.Strong understanding and hands-on experience with Medallion Architecture and modern data platform design.Experience using data modeling tools (Erwin etc.).Proficiency in data modeling techniques: 3NF, dimensional modeling, data vault, and star/snowflake schemas.Expert-level SQL and experience working with semi-structured data (JSON, XML).Familiarity with Azure data services (ADF, ADLS, Synapse, Purview)Key ResponsibilitiesDesign, develop, and maintain data models that meet data processing, analytics, and reporting needs, with a specific focus on Snowflake data warehousing.

Lead the design and implementation of logical, physical, and canonical data models across enterprise data domains in Snowflake.Architect data models for Bronze, Silver, and Gold layers as per the Medallion Architecture, ensuring performance, modularity, and reusability.Collaborate with data architects, engineers, and business analysts to translate business needs into scalable data models.Drive data model governance, including standards, documentation, versioning, and review processes.Conduct data profiling and gap analysis between source systems and target models.Participate in data integration efforts by providing source-to-target mappings and defining transformation rules.Build data model to support time travel kind of reportingEnsure compliance with data governance, data quality, and data security requirements.Build models to support operational & analytical reports

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