
Highly Experienced Oracle Data Engineer Required
3 days ago
Overview
We are seeking a skilled data professional to design, develop and maintain robust data pipelines and solutions using Oracle database technologies.
The ideal candidate will work closely with cross-functional teams to deliver scalable and efficient data integration and transformation solutions.
Key Responsibilities:- Design, develop and maintain data pipelines and workflows using Oracle database technologies
- Develop ETL processes to extract, transform and load data from multiple sources into Oracle databases and data warehouses
- Optimize SQL queries, stored procedures and PL/SQL code for performance and scalability
- Collaborate with data architects and business analysts to understand data requirements and translate them into technical solutions
- Implement data quality checks, monitoring and troubleshooting to ensure data integrity
- Support data migration, replication and synchronization tasks
- Work with big data tools and cloud platforms as needed for data integration
- Automate routine data engineering tasks using scripting languages
- Document data processes, data models and technical specifications
- Ensure adherence to data governance and security policies
- 4 to 5 years of hands-on experience with Oracle database technologies (Oracle 11g, 12c, 19c, etc.)
- Strong proficiency in SQL, PL/SQL and performance tuning
- Experience with ETL tools such as Oracle Data Integrator (ODI), Informatica or similar
- Familiarity with data modeling concepts and data warehousing principles
- Knowledge of Oracle GoldenGate or other data replication technologies is a plus
- Experience with Unix/Linux scripting (Shell, Python, etc.)
- Understanding of database security, backup and recovery procedures
- Ability to work with large datasets and optimize data workflows
- Familiarity with cloud data platforms (OCI, AWS, Azure) is desirable
- Oracle certifications such as Oracle PL/SQL Developer Certified Associate, Oracle Database Administrator Certified Professional
- Experience with Big Data ecosystems (Hadoop, Spark) or cloud data services
- Knowledge of containerization and orchestration tools like Docker and Kubernetes
- Experience working in Agile development environments
- Strong analytical and problem-solving abilities
- Good communication and collaboration skills
- Detail-oriented and proactive
- Ability to work independently and in teams
- Willingness to learn new technologies and tools
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