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Data Modeler - SQL / ETL

Data Modeler - SQL / ETL

YO HR ConsultancyHyderabad
30+ days ago
Job description

Experience : 8 to 12 Years.

Required Qualifications :

  • 8 to 12 years of experience as a Data Modeler or in a similar data architecture role.
  • Strong domain expertise in Private Equity, Investment Management, or Asset Management (fund structures, portfolio data, investor reporting, valuations).
  • Proven experience creating canonical models and developing logical & physical data models.
  • Hands-on experience with Azure Databricks and Medallion architecture (Bronze / Silver / Gold layers).
  • Proficiency in SQL, relational databases, dimensional modeling, and data integration patterns.
  • Strong understanding of ETL / ELT pipelines and collaboration with data engineering teams.
  • Excellent communication and stakeholder engagement skills to work across business and technical teams.

Must Have.

  • Experience with financial data standards and regulatory reporting frameworks.
  • Private Equity domain knowledge and experience.
  • Familiarity with data governance, metadata, data cataloging.
  • Background in cloud-based data architecture and modern data platforms.

    • Additional Information.

  • This is 5 days work from office role (No Hybrid / Remote option available).
  • Domain expertise in Private Equity, Investment Management, or Asset Management (fund structures, portfolio data, investor reporting, valuations).

    • Key Responsibilities.

  • Design and build canonical data models to support private equity and investment management business processes.
  • Develop logical and physical data models that align with enterprise architecture and cloud strategy.
  • Work within Azure Databricks Medallion architecture (Bronze / Silver / Gold layers) to design data flows and ensure consistency.
  • Partner with data engineering teams to implement models and optimize for scalability and performance.
  • Collaborate with business stakeholders, product owners, and analysts to gather requirements and translate them into data models.
  • Ensure data standardization, lineage, and governance across applications and integrations.
  • Document data models, business definitions, and metadata to support ongoing governance.
  • Provide thought leadership on best practices for canonical modeling, financial data integration, and cloud data architecture.

    • (ref : hirist.tech)

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    Data Modeler • Hyderabad