Lead – Data Integration & Analytics

Job Summary

We are seeking an experienced Oracle Analytics Server (OAS) & Oracle Data Integrator (ODI) Lead to manage end-to-end data integration and analytics delivery. The ideal candidate will lead ODI ETL/ELT operations, manage OAS semantic models and dashboards, ensure platform stability, and collaborate closely with business and technical teams to deliver high-quality analytics solutions.

Key Responsibilities

Oracle Data Integrator (ODI):

• Design, develop, and maintain ODI mappings, packages, load plans, and scenarios
• Monitor ODI agents, schedules, and batch jobs
• Troubleshoot and resolve ODI and Oracle database errors
• Optimize ETL/ELT performance and ensure data reliability
• Manage deployments across DEV, QA, and PROD environments

Oracle Analytics Server (OAS):

• Develop and maintain RPD (Physical, BMM, and Presentation layers)
• Create and manage dashboards, reports, and data visualizations
• Manage user access, security roles, and row-level security
• Perform performance tuning, caching, and server optimization
• Validate report accuracy and resolve business data issues

Platform & Governance:

• Ensure metadata consistency between ODI and OAS
• Maintain documentation, governance, and version control
• Lead production support, incident management, and RCA
• Coordinate with DBAs, infrastructure, and cloud teams

Leadership & Collaboration:

• Gather business requirements and translate them into technical solutions
• Define SLAs for data freshness, uptime, and analytics availability
• Conduct user training and knowledge-sharing sessions

Required Skills & Qualifications

• 5–12 years of hands-on experience with Oracle Data Integrator (ODI 11g/12c)
• Strong experience with Oracle Analytics Server (OAS) / OBIEE
• Excellent SQL and PL/SQL skills
• Strong understanding of data warehousing, dimensional modeling, and ETL/ELT
• Experience in production support and performance tuning
• Exposure to deployment tools like Git, SVN, or similar

Preferred Skills

• Experience with Oracle Analytics Cloud (OAC) or Oracle Cloud Infrastructure (OCI)
• Knowledge of Linux shell scripting and automation
• Exposure to Python, PySpark, or modern data engineering tools

Why Join Us

• Opportunity to lead enterprise-scale Oracle analytics initiatives
• Work with experienced data and cloud professionals
• Growth-oriented environment with challenging projects

Contact Details - 9896509696

Job Types: Full-time, Permanent

Benefits:

• Flexible schedule

Work Location: In person

Application Deadline: 26/12/2025