ODI Developer
USM
- Start Date: Interview Types Video Call
- Skills ETL/ELT,ODI,PL/SQL c.. Visa Types H1B, Green Card, US ..
Location: Boston, MA(Hybrid)
Duration: End of 2026 + extension
Note: This is 3 days onsite role in Boston so looking for local candidates and client is not looking to consider relocation candidates.
Rate: $70per hour on W2
USC/GC/H1B Tope 5 Must haves:
- ETL/ELT
- ODI
- PL/SQL coding
- 7 years' experience
- Knowledge on how to be an admin side of things (not day to day but is able to do that)
- Scripting - Python & Unix Scripting
- 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.
- 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)
- 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.
- 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
Vacancy posted 4 days ago
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