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The average salary range is between $ 85,000 and $ 164,639 year , with the average salary hovering around $ 116,824 year .
The average salary range is between $ 90,000 and $ 146,250 year , with the average salary hovering around $ 111,404 year .
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
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
