Senior Data Engineer

2 weeks ago

Hubli, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
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About the Role:\

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We are seeking a skilled professional to build scalable data models, pipelines, and impactful dashboards for enterprise clients using Oracle Analytics Cloud (OAC) and related tools.\

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The ideal candidate will have hands-on experience in building data transformations, visualizations, reports, and dashboards. A solid understanding of data modelling, including star schema and snowflake, is also required.\

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This role involves leading architecture, setup, and delivery of projects, developing custom calculations and metrics tailored to business KPIs, extending and maintaining semantic models, designing and implementing data pipelines, and building data models for finance and operational reporting.\

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Key Responsibilities: \

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  • Lead architecture, setup, and delivery of NetSuite Analytics Warehouse and OAC projects.\\
  • Develop custom calculations, time series functions, and metrics tailored to business KPIs.\\
  • Extend and maintain the semantic model to support complex reporting needs.\\
  • Design and implement data pipelines between NetSuite and ADW/OAC.\\
  • Build data models, transformation logic, KPIs, and dashboards for finance and operational reporting.\\
  • Troubleshoot technical issues and performance bottlenecks across data layers.\\
  • Define best practices for solution design, governance, and documentation.\\
  • Collaborate with functional consultants to understand reporting requirements.\\
  • Provide technical leadership and mentorship to junior team members.\\
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Required Skills and Qualifications: \

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  • A Bachelor's degree in computer science, Engineering, Data Analytics, or related field.\\
  • Strong implementation experience with NetSuite Analytics Warehouse (NSAW), Oracle Analytics Cloud (OAC), and Autonomous Data Warehouse (ADW).\\
  • Solid understanding of NetSuite data structures and reporting needs.\\
  • Oracle certifications preferred but not mandatory.\\
  • Strong SQL skills and experience with data transformations.\\
  • Proficiency in building visualizations, reports, and dashboards.\\
  • Understanding of data modelling (star schema, snowflake, etc.).\\
  • Experience with semantic model extensions, calculated fields, and custom logic.\\
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Benefits: \

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  • The opportunity to work with a cutting-edge technology stack.\\
  • The chance to collaborate with a talented team of professionals.\\
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