ODI Developer

Senior ODI Developer
Role Overview:
Seeking a highly skilled and experienced Sr. ODI Developer to join our Private Banking Systems team. The ideal candidate will possess expertise in a range of technologies, including ODI (Oracle Data Integrator), Oracle Data Warehouse, Linux, Python scripting, and have a deep understanding of the Banking domain is a big plus. As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data solutions.

Key Responsibilities:

• Build ODI mappings/interfaces, packages, procedures, scenarios, topology configuration, ODI Agent and load plans to integrate data from multiple enterprise systems.
• Expertise in building Pl/SQL queries, procedures, data loading process, ensuring high-performance and scalability to meet the evolving data needs of the various applications.
• Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI).
• Collaborate effectively with cross-functional teams, including other data engineers, DBA group, analysts, and business stakeholders, to understand data requirements and deliver solutions.
• Monitor and troubleshoot RMJ jobs, ODI workflows, sessions, agents, and data pipelines on Linux environments.
• Perform root cause analysis for failures related to ODI workflows, RMJ jobs, network connectivity, API integrations, and file transfers.
• Optimize ETL workflows to improve reliability, performance, and scalability.
• Use scripting and automation tools to support data processing and operational workflows.
• Work in Linux/Unix environments, using command-line tools and shell scripts for job automation and troubleshooting.
• Maintain comprehensive documentation of data processes, configurations, and best practices.
• Participate in walk-throughs which review program specifications, source code, and all technical supporting documentation, including screens/reports. Provide feedback in accordance with team standards and guidelines.
• Participate in implementation of changes, enhancements, and newly developed programs.
• Conduct technical research and provide recommendations, develop proofs of concept or prototypes, contributing to technical design of applications.
• Helping to identify coding patterns and anti-patterns and enforce implementation of the patterns through code reviews.
• Quickly resolving issues encountered by business lines in the production environment, maintaining a helpful, "high touch " approach to working with business users, performing root cause analysis, technology evaluation, and performance tuning.
  

Qualifications:

• Degree in Computer Science, Engineering or related technical area

• 7 years of extensive hands-on experience in ODI, Oracle Datawarehouse, Oracle PL/SQL, Linux, Python scripting, and ODI admin module (ODI Agent setup, logs configuration, certificate installation).
• Must have experience in building Pl/SQL queries for Oracle Server (incl. stored procedures, functions...) and must understand basic principles of data modeling
• Excellent collaborative and communication skills, particularly in high-stress situations

• Experience with scripting Python and Linux scripting, CLE, networking fundamentals (API, IP/ports, SFTP/FTP connectivity)
• High proficiency in development practices: unit testing, Continuous Integration (CI/CD), refactoring, clean code
• Experience with Bitbucket/GIT source control management
• Problem solving skills, able to determine upcoming risks & issues and address them accordingly.
• Ability to interpret and troubleshoot applications using logs.
• Pro-active approach and good communication skills.
• Experience with agile methodologies (Scrum, Kanban) and tools (Jira)
  

Nice to Have:

• Private Banking domain experience.
• Working experience in a financial service industry
• Financial application knowledge like FIS AddVantage, CRD, CRM Pivotal.
• Experience with Apache Airflow for workflow orchestration.
• Knowledge of dbt (Data Build Tool) for modern data transformations.
• Exposure to cloud data platforms or hybrid data architectures.
  

Key Competencies:

• Strong analytical and problem-solving skills
• Ability to work with large-scale enterprise data environments
• Excellent collaboration and communication skills
• Ability to manage multiple priorities in a fast-paced environment
• Commitment to continuous learning and technology innovation