Data Modeler

2 days ago

Hyderabad, India Insight Global Full time
  • Prefer a 30 day notice period or less
  • Ideally hybrid in Hyderabad but can be remote


Required Skills:

  • 6-9 years’ experience in performing data modeling/data design, 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.
  • 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 CPG business processes, Industry data models and EDW/MDM environments

Nice to Have Skills:

  • 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 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.
  • 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).
  • 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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