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Oracle is an American enterprise technology company founded in 1977 by Larry Ellison, Bob Miner and Ed Oates, and headquartered in Austin, Texas. It built its business on the Oracle Database, still the reference relational engine for large transactional systems, and has expanded into a full applications suite covering finance, human resources, supply chain and customer experience through Fusion Cloud and NetSuite. Its fastest growing segment is Oracle Cloud Infrastructure, which the company has positioned aggressively for AI training and inference workloads through large multi-year capacity contracts.

The role involves designing, developing, optimizing, and maintaining enterprise reporting and analytics solutions, collaborating with business stakeholders, and leveraging modern development practices including cloud technologies, automation, and AI-assisted development tools

Required Technical Skills

  • The ideal candidate should have 5-8 years of hands-on experience in SAP BusinessObjects (BI 4.x), including Web Intelligence (WebI), Crystal Reports, Universe Design (UDT/IDT), semantic layer modeling, and enterprise report/dashboard development.
  • Strong expertise in Oracle Database, SQL, and PL/SQL with experience in query optimization, performance tuning, stored procedures, packages, functions, triggers, and impact analysis is essential.
  • Exposure to Oracle Analytics Cloud (OAC) and/or Tableau is preferred.
  • Candidates should possess working knowledge of Python or Java, REST APIs, scripting/automation, Oracle Cloud Infrastructure (OCI), Git, and Agile development practices.
  • Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or ChatGPT for coding, debugging, documentation, and productivity enhancement will be an added advantage.

Key Responsibilities

  • Design, develop, and maintain enterprise reporting and dashboard solutions using Oracle Analytics Cloud (OAC), SAP BusinessObjects, and Tableau.
  • Develop interactive dashboards, pixel-perfect reports, scorecards, and analytical visualizations for business users.
  • Design and maintain semantic models, including Physical, Business/Logical, and Presentation layers.
  • Build reusable enterprise data models and subject areas to support self-service analytics.
  • Develop and optimize Oracle SQL and PL/SQL packages, procedures, functions, triggers, and views.
  • Perform SQL query tuning and database performance optimization for large datasets.
  • Analyze execution plans and improve report performance through indexing, partitioning, and efficient SQL design.
  • Perform impact analysis for database, reporting, metadata, and configuration changes.
  • Troubleshoot complex production issues, perform root cause analysis, and implement permanent fixes.
  • Create technical documentation, knowledge articles, solution designs, and operational runbooks.
  • Collaborate with business analysts, architects, DBAs, and cross-functional teams to translate business requirements into technical solutions.
  • Follow secure coding standards, coding best practices, and enterprise governance processes.
  • Support release management, deployment activities, and production support.

Career Level - IC3

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