Data Modeler - INTL India

Job Description Insight Global is hiring a Data Modeler for a global consumer healthcare client. The Data Modeler will serve as the expert data resource responsible for designing and building the blueprint for how data flows across the business. You'll work with customer, finance, and third party datasets to define clear relationships, create clean and standardized data models, and help harmonize the data environment so the business has one trusted source of truth. Your work will involve using Databricks (or similar platforms) to engineer data pipelines, and tools like Erwin or similar to visually model and document the structures behind them. You'll lead complex data initiatives, collaborate with IT, legal, finance, and business stakeholders, and help guide decision making by balancing technology standards with real-world business needs. You are expected to operate independently, contribute innovative solutions, manage expectations at senior levels, and occasionally provide leadership or mentorship to team members and partners. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 8+ years total data engineering/modeling experience 5+ years data modeling experience, including technologies like Erwin or similar Strong Databricks experience CPG/Retail data expertise Experience with data governance and metadata tools (i.e. catalogs, lineage Cloud data architecture exposure (Azure/AWS/GCP)