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 Skills :
• Strong experience with Oracle Autonomous Database and Data Lake implementation.
• 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 :
• Bachelors degree in Computer Science, Information Technology, or related field.
• 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

(ref : hirist.tech)