Job Title: Technology & Transformation - Engineering - Consultant - Oracle

Technology & Transformation - Engineering - Consultant - Oracle
• Job requisition ID : 104975
• Location: Mumbai
• Entity: Deloitte Touche Tomathsu India LLP
The Team
Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
As a Consultant in our Technology & Transformation Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -
- Design, develop and deploy solutions using different tools, design principles and conventions.
- Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.
- Understand existing processes and facilitate change requirements as part of a structured change control process.
- Solve day to day issues arising while running robotics processes and provide timely resolutions.
- Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.
- Coordinate with process owners and business to understand the as-is process and design the automation process flow.
Key skills required:
- 3+ years of hands-on experience in designing, developing, and maintaining ETL/ELT solutions using Oracle Data Integrator (ODI).
- Design, develop, and maintain ETL/ELT data integration pipelines using Oracle ODI.
- Develop and optimize data integration solutions for data warehouses, data marts, and operational systems.
- Work with Oracle databases including Oracle 11g/12c/19c and Exadata under guidance.
- Implement data transformations, mappings, packages, procedures, and load plans in ODI.
- Manage metadata, knowledge modules (KM), and reusable components following best practices.
- Orchestrate and schedule data workflows using ODI Load Plans and external schedulers (if applicable).
- Participate in CI/CD pipeline implementation for ODI code using tools such as Git, Jenkins, and related DevOps tools.
- Support data migration and modernization projects, including legacy system to Oracle and on-premises to cloud migrations.
- Implement data quality checks, reconciliation, and validation rules within ETL processes.
- Monitor ETL jobs, troubleshoot failures, and optimize performance and load times.
- Apply best practices for performance tuning, error handling, and scalability.
- Collaborate with data architects, analysts, and business stakeholders to gather and understand data requirements.
- Document ETL designs, data mappings, operational procedures, and technical specifications.
- Hands-on experience with Oracle Data Integrator (ODI).
- Strong SQL and PL/SQL skills.
- Good understanding of ETL/ELT concepts and data integration patterns.
- Experience working with Oracle databases and data warehouse concepts.
- Familiarity with data modeling (dimensional and relational).
- Exposure to DevOps practices and CI/CD for ETL workflows.
- Good communication and collaboration skills.
- UG: B. Tech /B.E. in Any Specialization.
- Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.
Preferred Qualifications:
- Oracle ODI Certification or Oracle Database Certification.
- Experience with Oracle Data Warehouse, Oracle Analytics, or BI tools.
- Exposure to Oracle Cloud Infrastructure (OCI) and cloud-based data integration.
- Experience working in Agile/Scrum delivery teams.
- Basic knowledge of performance tuning and data volume optimization techniques.
