Job Summary

Lead Data Engineer - We are looking for an experienced Data Engineering Lead with strong expertise in Oracle Fusion Data Intelligence (FDI), Oracle Analytics Cloud (OAC), Oracle Data Integrator (ODI), and enterprise data engineering. In this role, you will lead the design, development, integration, and support of scalable data and analytics solutions that enable reliable, high-quality data for business reporting and decision-making.

Team Culture

- Work environment, which is collaborative and driven by Learning, exploration experimentation mindset.
- Empowering Enabling individuals and teams to realize their full potential.
- Focus on care delivery model for the future supported by innovation for positive change.
- Data driven decision making on vision roadmap of Products.

Responsibilities What will you be responsible for

- Data Engineering Solution Design: Design and deliver scalable end-to-end data engineering and analytics solutions using Oracle FDI, OAC, ODI, Oracle databases/ADW, SQL, PL/SQL, and related cloud technologies.
- FDI Analytics Solutions: Design, develop, enhance, and support Oracle FDI and OAC solutions, including FDI extensions, semantic models, datasets, dashboards, reporting solutions, and custom data requirements to address business and reporting gaps.
- Data Integration Pipeline Engineering: Design and develop robust ETL/ELT pipelines and integration solutions using ODI and related technologies to enable reliable movement and transformation of data across Oracle Fusion, enterprise data platforms, analytics systems, and downstream applications.
- Data Warehousing Modeling: Design and maintain data warehouse structures,



dimensional and semantic models, tables, views, and reusable data layers that support scalable analytical and reporting requirements.
- Data Processing Quality: Design full and incremental data-load processes with appropriate transformation, validation, reconciliation, error handling, logging, and data-quality controls to ensure accurate and reliable data delivery.
- Performance Scalability: Optimize SQL, PL/SQL, data pipelines, integrations, data models, and analytics solutions for performance, scalability, reliability, and maintainability.
- Production Support Troubleshooting: Lead troubleshooting of complex production issues across data pipelines, FDI, OAC, ODI, databases, and reporting layers. Perform root-cause analysis and drive sustainable solutions and preventive improvements.
- Testing, Release Deployment: Lead technical activities across development, testing/UAT, and production environments, including data validation, regression and incremental-load testing, deployments, migrations, upgrades, and production stabilization.
- Collaboration Stakeholder Engagement: Collaborate with business, functional, application, engineering, analytics, cloud/platform, and product teams to understand requirements, resolve dependencies,



and ensure technical solutions align with business objectives.
- Technical Leadership: Provide technical guidance to engineers, participate in architecture and design reviews, conduct code reviews, mentor team members, establish engineering standards, and promote reusable and maintainable solutions.
- Modernization Innovation: Contribute to modernization of legacy data and reporting solutions by evaluating and adopting modern cloud-based data engineering and analytics capabilities. Exposure to Oracle AI Data Platform (AIDP), Snowflake, and emerging AI-enabled data engineering capabilities is an advantage.
- Documentation Knowledge Sharing: Maintain solution designs, data mappings, operational documentation, technical standards, and support procedures while promoting knowledge sharing and engineering best practices across the team.

Requirements

- 6-8 years of hands-on experience in Data Engineering, Data Warehousing, Business Intelligence, Analytics, Data Integration, or related areas.
- Solid hands-on expertise in Oracle Fusion Data Intelligence (FDI), Oracle Analytics Cloud (OAC), and Oracle Data Integrator (ODI) with experience delivering enterprise-scale data and analytics solutions.
- Strong experience with Oracle Database and/or Oracle Autonomous Data Warehouse (ADW) and advanced proficiency in SQL and PL/SQL.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Data Engineer (Hyderabad)
🏢 Providence College of Engineering
📍 Hyderabad