Oracle Data Integration Developer

Skills

Degree in Computer Science Engineering or related technical area 8+ years of hands-on experience in ODI Oracle Datawarehouse Oracle PL/SQL Linux Python scripting Data Fabrics Excellent collaborative and communication skills particularly in high-stress situations Experience with scripting Windows Python and Linux scripting. Must have experience in building Pl/SQL queries for Oracle Server (incl. stored procedures functions…) and must understand basic principles of data modeling 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)

Description

The ideal candidate will possess expertise in a range of technologies, including ODI (Oracle Data Integrator), Oracle Data Warehouse, Linux, Python scripting, database administration (DBA), and have a deep understanding of the Banking domain. As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data solutions that drive our organization's data-driven decisions.

Responsibilities

• Collaborate effectively with cross-functional teams, including other data engineers, DBA group, analysts, and business stakeholders, to understand data requirements and deliver solutions.
• Strong in managing and optimizing Private Banking Data Warehouse environments, experience in building Pl/SQL queries, data loading process, ensuring high-performance and scalability to meet the evolving data needs of the various applications.
• Strong experience in design and develop ETL (Extract, Transform, Load) processes using Oracle Data Integrator (ODI) tool and ensuring the seamless flow of data across various systems and databases.
• Experience in troubleshooting issues on Linux server, Autosys & Momentum.
• Experience in developing and maintaining Python scripts to automate data-related tasks, data validation, and data quality checks.
• Understanding of the Private Banking domain to design data solutions that align with industry-specific regulations, compliance, and best practices.
• Collaborate with data architects to create and maintain data models that support the organization's data needs.
• Implement data quality processes and validation checks to ensure the accuracy and reliability of data.
• 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.
• Code and test changes to programs and their associated components, including (but not limited to) screens, services, modules, queries, and stored procedures.
• Contributing technical expertise to defining application requirements in collaboration with business analysts, business representatives and others. You must be able to streamline as well as record requirements, perform gap analysis and offer functionality options where appropriate.
• Plan and support Production deployments during weekends.
• 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.

Educational Requirements

• Private Banking domain experience.
• Working experience in a financial service industry
• Financial application knowledge like FIS AddVantage, CRD, CRM Pivotal.
• Experience with Data Fabric or related toolsets.
• Experience with Cloud Data Computing, Snowflake