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ODI Developer

Marchon Partners, Jersey City, NJ, United States


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.

Desired 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

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