1. Develop and maintain data pipelines across bronze, silver, and gold layers using Medallion Architecture principles.

2. Build scalable and secure data lakehouse solutions on Oracle Cloud Infrastructure (OCI).

3. Implement ETL/ELT workflows using Oracle Data Integration tools (ODI, Data Transforms, GoldenGate).

4. Optimize data processing using Spark, Python, and SQL for batch and streaming data.

5. Collaborate with data architects, analysts, and business stakeholders to deliver high-quality datasets.

6. Ensure data quality, lineage, and governance across all layers of the data platform.

7. Monitor and troubleshoot data pipeline performance and reliability.

8. Understanding of AI/ML concepts with hands-on experience in designing, developing, and deploying AI/ML models. Should have practical experience in applying machine learning techniques to real-world business problems.

9. Experience working with cloud-based ML platforms (e.g., OCI Data Science) is a plus. Exposure to large language models (LLMs), generative AI, and prompt engineering is desirable.

10. Any Industry Standard Certifications will be a plus

11. Good knowledge in Oracle database and development Experience in the database application.

12. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving

13. Building Effective Relationships, Customer Focus, Effective Communication, Coaching.

14. Ready to travel as and when required by project.