Data Lake Implementation Specialist
2 days ago
Role & responsibilities
• Design, develop, and implement data lake solutions on Oracle Autonomous Database.
• Proficient knowledge in creating data pipelines using Oracle Transform
• Create and manage database schemas, tables, partitions, and indexes within Oracle Autonomous DB.
• Work with OCI Data Integration and ODI to build and optimize data pipelines for ingestion, transformation, and loading.
• Design and manage data ingestion frameworks from multiple sources (structured, semi-structured, unstructured).
• Implement and optimize ETL processes, including job scheduling and automation.
• Integrate with external systems and applications through APIs.
• Manage and optimize Object Storage usage for data storage and retrieval.
• Ensure data security, governance, and compliance in all implemented solutions.
• Collaborate with architects, data engineers, and business stakeholders to translate requirements into scalable data solutions.
• Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.
Required Skills & Qualifications
- Proven experience in building and implementing data lakes on Oracle Autonomous Database.
• Strong expertise in Oracle Cloud Infrastructure (OCI) Data Integration and Oracle Data Transform & ODI
• Hands-on experience with ETL development, job scheduling, and process orchestration.
• Strong knowledge of database design, optimization, and performance tuning in Oracle Autonomous DB.
- Experience with Object Storage (Oracle or equivalent cloud storage).
- Solid understanding of API-based data integration and automation.
- Proficiency in SQL, PL/SQL, and scripting languages (Python/Shell preferred).
- Strong troubleshooting skills and ability to optimize large-scale data workflows.
• Excellent communication and collaboration skills to work with cross-functional teams.
Preferred candidate profile
• Oracle Certified Professional (OCP) or OCI certifications in Autonomous Database / Data Integration.
- Experience with real-time data streaming tools (e.g., Kafka, GoldenGate, or equivalent).
- Familiarity with data governance and security best practices in Oracle Cloud.
- Experience in data analytics and reporting integration with Autonomous DB.
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