Contingent Worker - Data (ISRA)
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I. WORK TO BE PERFORMED:
- Design, develop and build Cloud-based and hybrid data solutions
- Understand data models, process maps and data integration processes
- Understand and be fluent in common architectures including microservices, serverless, Lambda and related technologies
- Be able to work closely with data engineering teams to build capacity and performance model for planning and operating schemes within OCC
- Validate design and requirements against data maps and compliance policies within OCC
- Triaging of reported production software issues as they relate to data management, identifying defects, providing well considered defect fixes
- Determine current limitations and compatibilities between subsystems, selection of new concepts and methodologies, preparation of technical requirements and platform design specifications and development of major routines and utilities
- Work with the team to develop a pre-ETL strategy and scripts to clean and map data
- Assist with project related artifacts and reporting requirements
- Identify automation opportunities within data pipeline and recommend improvements Review and recommend processes for opportunities to improve efficiency and effectiveness
- Monitor production problems/incidents to assess impacts to business processes and controls, escalate issues to manager/team.
II. SKILL AND EXPERIENCE REQUIRED:
- 6+ years of experience in Java
- 5+ years of experience in SQL
- 5+ years of experience in JavaScript
- Hands-on experiences on Kubernetes eco-system
- Hands-on experience with HTML5/CSS3
- Hands-on experience with NodeJS application development
- Hands-on experience with React such as memory management techniques on UI events
- Hands-on experience implementing RESTful APIs
- Hands-on experience with Linux (basic level skills required)
- Expertise with Spring Boot and Spring Boot REST module
- Experience with DevOps tools and technologies such as Terraform, Git, Jenkins, Docker, Harness, Nexus/Artifactory, and CI/CD pipelines
- Experience working with Cloud ecosystems (AWS, Azure, GCP)
- Exposure to Kubernetes such as Rancher, AWS EKS, Google GKE or Azure AKS
- Familiarity and knowledge of Docker containers
- Familiarity with implementing and deploying microservices
- Familiarity with monitoring related tools and frameworks like Splunk, Sum Logic, ElasticSearch, Dynatrace, SignalFX, AppDynamics, and Fluentd
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