Data Engineer - ODI/ETL

Key Responsibilities :

- Design, develop, and implement data lake solutions on Oracle Autonomous Database.

- Build and manage ETL pipelines using Oracle Transform and ODI.

- Work with OCI Data Integration services to ingest, transform, and manage data.

- Implement job scheduling, process orchestration, and automation for data workflows.

- Optimize ETL and data processing performance for large-scale datasets.

- Ensure data quality, consistency, and integrity across multiple sources and platforms.

- Collaborate with analytics and business teams to understand data requirements and support reporting/BI initiatives.

- Maintain documentation and standards for data engineering processes.

Technical Skills :

- Hands-on expertise in Oracle Data Integrator (ODI) and Oracle Transform.

- Experience with OCI Data Integration services and Object Storage.

- Proficient in ETL development, data pipeline orchestration, and job scheduling.

- Familiarity with data modeling, data warehousing, and database design.

- Knowledge of SQL, PL/SQL, and scripting for data automation.

- Understanding of cloud-based data management best practices and performance optimization.

Qualifications :

- Minimum 5+ years in data engineering and overall 8 years of professional experience.

- Proven experience in building and implementing data lakes on Oracle Cloud.

- Strong analytical, problem-solving, and collaboration skills