Odi Developer

ODI Developer 
Hybrid Onsite in Jersey City, NJ OR Boston, MA - USC OR GC ONLY 
Location: Boston, MA OR Jersey City NJ
Hybrid: 3 days on site
LinkedIn need 3 yrs old

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
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.

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