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#W2 Role

Job Title- Sr ODI (Oracle Data Integrator) Developer.

Location-Jersey City, NJ or Boston, MA (3-4 days onsite)

 Job Description

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