▷ (Immediate Start) Data Modeller(Freelancing/Contract)

3 weeks ago


Delhi, India SolarSys Innovations Private Ltd Full time
Company Description SolarSys Innovations is one of the prominent software companies that helps other organizations transform into digital enterprises. It differentiates you from competitors in the market and provides better engagement with customers, partners, and employees. We clearly understand that all customer landscapes are not of the same kind. Location : Remote Work Timings : 2-11 pm IST Work Type : Freelancing/Contract Role Description This is a contract remote role for a Data Modeller. As a Data Modeller, you will be responsible for designing and implementing data models, creating and maintaining data dictionaries, and working closely with cross-functional teams to ensure data integrity and accuracy. You will also collaborate with stakeholders to identify data requirements and provide insights for decision-making. The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.

Skills Dimensional modelling. Snowflake Dimensional modeling. Star schema modeling. Data Vault 2.0 8+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation

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 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, 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.

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