Data modeler

2 weeks ago

India Insight Global Full time

Must-Haves: 6-9 years’ experience in performing data modeling/data design, hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, No SQL 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.

Solutions Delivery experience - expertise in system development lifecycle, integration, and sustainability Advanced data modeling or database experience; experience with Data Lake/Lakehouse, Synapse, IDM, ER/Studio and/or Erwin modeling tools Knowledge on Data lake/Cloud Platforms(Azure - Synapse), ADF, Databricks Good understanding of business processes, Industry data models and EDW/MDM environments Plusses: Knowledge on any cloud platforms specifically Synapse and Azure is added advantage.

Day-to-day: Primary focus would be to partner with Enterprise Architecture to create Data Models, establish data standards and govern across all development; advocate and assist in governing Enterprise Architecture standards and strategy via data solutions.

Governs data design/modeling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.

Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting Independently complete designs and database object constructs on any supported platform, including Microsoft Azure, Synapse, Teradata, Sybase, Salesforce, Oracle, and/or DB2 (Accountable) Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and No SQL) 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.

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/No SQL).

Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.

The candidate must be able to work independently and collaboratively.

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