Data Modeler

10 hours ago

Remote, India Neuronimbus Software Services Full time

Bachelor's Degree- Onsite Remote- 6-12 years- Remote- Openings : 2

**Job Profile**:
Key Responsibilities
- Understand domain-specific business processes, data flows, and terminologies to create accurate and practical conceptual, logical, and physical data models.
- Work closely with data scientists, ML engineers, and industry SMEs to translate use cases into structured data representations suitable for ML training.
- Design and document industry-specific ontologies, data taxonomies, entity relationships, and schemas that can support AI/ML development pipelines.
- Ensure that data models adhere to data governance, quality, and compliance standards specific to each domain (e.g., PCI-DSS, APRA, GDPR, or government data classification frameworks).
- Collaborate with stakeholders to iterate on the model based on real-world feedback, business logic, and evolving data needs.

Required Skills & Experience
- Proven experience as a Data Modeler or Data Architect on large-scale projects in one or more of the listed industries.
- Strong understanding of industry data domains, including customer data, product data, transactions, network data, media assets, case files, etc.
- Proficiency in data modeling tools (e.g., Erwin, ER/Studio, PowerDesigner, or equivalent).
- Ability to create conceptual, logical, and physical models aligned with business use cases.
- Familiarity with ML data preparation, feature engineering concepts, and how structured data models enable model training and performance.
- Strong grasp of metadata management, data lineage, and data cataloging practices.Excellent communication skills and ability to engage both technical and non-technical stakeholders.

Preferred Qualifications
- Exposure to knowledge graphs, ontologies, or semantic modeling.
- Familiarity with data lakes, lake houses, and modern data platforms like Databricks, Snowflake, or Big Query.
- Hands-on understanding of data privacy, ethics, and regulatory concerns in respective industries.

**Skills**:
Data Governance, Database Design, Metadata Management, Entity-Relationship Modeling, Data Quality Management, Business Intelligence Tools, SQL, Data Warehousing Concepts, Dimensional Modeling, ETL Processes

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