
Posted 6 months ago
Data Modeler
AI Summary
Designs and maintains conceptual, logical, and physical data models for cloud and on‑prem systems; translates business requirements into data models and supports migration to GCP.
About this role
We are looking for Data Modeler with 10+ years of experience.
Key Responsibilities:
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Develop and maintain conceptual, logical, and physical data models leveraging GCP services such as BigQuery, Cloud SQL etc.
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Work on end-to-end data initiatives, from gathering requirements to cutover.
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Translate business requirements from stakeholders into effective data model designs.
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Play a key role in migrating data from legacy on-premises systems to cloud-native GCP solutions.
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Optimize data models for performance-oriented OLAP (Online Analytical Processing) and OLTP (Online Transactional Processing) systems.
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Ensure data consistency, quality, and reliability by defining constraints, validation rules, and data governance policies within data models.
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Collaborate with data engineers, data scientists, and business teams to understand data needs and deliver structured data for analytics and machine learning.
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Create and maintain comprehensive data model documentation, including entity-relationship diagrams, data dictionaries, and metadata definitions.
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Leverage understanding of telecom-specific data, such as subscriber data, billing information, network performance metrics, and customer insights.
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Proficiency in data modeling techniques (dimensional, relational) and tools such as Erwin, PowerDesigner, or open-source alternatives.
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Expert-level SQL skills for querying and analyzing large datasets in BigQuery.
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Strong hands-on experience with core GCP services
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Understanding of telecom data sources and industry-specific metrics.
Skills
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