ODI Developer

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