Why This Role Stands Out
This hybrid role in Melbourne offers an exciting opportunity to leverage your Oracle RPAS expertise and grow your cloud skills within a reputable company. You'll thrive here if you possess strong analytical abilities and enjoy collaborative problem-solving, making this a rewarding next step in your career.
Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Melbourne, Victoria, Australia
OraclePL/SQLSQLAWSGitJavaJenkins
Job Description
Role: Oracle RPAS Techno functional Consultant
Location: Melbourne, VIC
Experience: 5 years
Job Type: Permanent Job Description:
Location: Melbourne, VIC
Experience: 5 years
Job Type: Permanent Job Description:
- Oracle Retail Predictive Application Server consultant (RPAS PL/SQL, Unix, Java), RDF
- Secondary Skills - AWS cloud knowledge, GIT, Jenkins
- Desired Experience Range: 5 years
- Location of Requirement: Melbourne, VIC
- Overall IT experience 5+ years with extensive build and maintenance experience in Oracle RPAS and Linux scripting.
- Extensive experience in Oracle retail predictive application server system across different modules
- Expertise in coding using Linux scripting, AWS cloud knowledge, GIT and Jenkins
- Strong analytical and problem-solving skills.
- Application support and maintenance experience
- Experience in job scheduler and its features.
- Proficient retail domain knowledge and its integration with multiple applications.
- Experience in Requirement Gathering and Analysis and Developing the High level (HLD) and Low-level Design (LLD) Document.
- Experience in working with Linux.
- Experience in designing, developing, testing and coordinating to ensure timely completion of given task.
- AWS cloud knowledge, Jenkins, GIT
- Good communicator with strong interpersonal skills
- Good Team player, willingness to work with one or many delivery teams
- Problem solver who can get people together to find better ways of doing thingssupport operation of application for incidents and service requests
- Development and enhancement activities in RPAS modules
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