RMS Engineer - C2C - Seattle, WA (Hybrid, Only Local Candidates) - Only Independent Visa

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 1 Year(s)
Able to Provide Sponsorship

Skills

Data Science
Analytics
Integration
Modelling
Orchestration
Coding
Oracle
RMS
ReSA
RPM
PLSQL
Pro*C
UNIX
Scripting
Integration Bus
Messaging
Architecture
GIT
TES
Agile
SCRUM
TDD
Kafka
Kubernetes
AWS
Microservices
REST
CI/CD
Jenkins
Maven
Gradle
Documentation
Troubleshooting
Containers
Versioning

Job Details

Key Skills:
Data Science, Analytics, Integration, Modelling, Orchestration, Coding, Oracle, RMS, ReSA, RPM, PLSQL, Pro*C, UNIX, Scripting, Integration Bus, Messaging, Architecture, GIT, TES, Agile, SCRUM, TDD, Kafka, Kubernetes, AWS, Microservices, REST, CI/CD, Jenkins, Maven, Gradle, Documentation, Troubleshooting, Containers, Versioning

Job Description:
Lead development and maintenance of data science and analytics processes, procedures, and policies
Lead identification, design, and implementation of integration, modelling, and orchestration of complex data using relevant coding language(s)
Act as subject matter expert for data engineering needs
Create and maintain relevant documentation and conduct knowledge transfer activities

Additional Job Requirements:
5+ strong techno functional experience in oracle retail suites of applications (RMS).
Knowledge of Oracle Retail Merchandise System(RMS), Oracle Retail Sales Audit (ReSA), Retail Price Management (RPM).
Expert in oracle PLSQL, Proc, UNIX shell scripting, integration Bus and message services.
Experience in developing and designing complex applications revolving around RMS with understanding of production support, maintenance process.
Experience working on service-oriented architecture.
Experience using a version control system as GIT/GITLAB. TES or any other Job scheduler experience is a plus.
Experience in Agile development methodologies using SCRUM and Test-Driven development.
Experience with Kafka streaming, Kubernetes, and public cloud infrastructure (AWS) is a bonus.
Knowledge in event driven design and implementation patterns, containers and micro-services, REST APIs are a bonus.
Experience in using CI/CD pipelines using tools like Jenkins, maven/Gradle.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.