Job Description Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Combine raw information from dif..
Job Description
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Requirements:
Proven experience as Data Engineer with at least 3 Years professional work experience
Strong proficiency in at least one SQL Development (Oracle, MS SQL, or similar technologies) and ETL Development Tools (Informatica, Talend or similar technologies)
Knowledge in Shell Scripting, Hadoop Platform, Big Data
Familiarity with Agile and DevOps methodologies
Preferred Qualifications:
Familiarity with Data Modeling and Design
Familiarity with Python/R and AWS Service (Redshift)
Job Description Daily monitoring of IBM Tickets related to APIC L1 support for APIC Issues Deploy IBM APIconnect Software using Kubernetes Manage and ..
Job Description
Daily monitoring of IBM Tickets related to APIC
L1 support for APIC Issues
Deploy IBM APIconnect Software using Kubernetes
Manage and Maintain IBM Apiconnect Software
Manage IBM Cloud Platform and Services
Creating Ubuntu Server environment using VMware ESXi
Manage and Maintain IBM Servers in Vitro Data Center
Manage VM ESXi Servers
Deploy IBM Application using Red Hat Openshift and Kubernetes
Experience with Containerization using Docker, OCP, and Kubernetes
Applying the Agile and DevOps Methodology. Acting as DevOps Engineer
To support the successful deployment, maintenance, development, integration, and use of the infrastructure environment and its services
Provides input into and supports the execution of operations management, service management, environment management, security, and project management methodologies & processes, incident and change control processes, release management, testing, documentation development and maintenance, monitoring, data management, environment maintenance, solution enhancements, and solution development.
Identifies, understands, and plans for organizational and human impacts of systems, and ensures business requirements are properly documented and integrated with existing processes, services, solutions, and skill sets.
Develops, documents, and revises environment or solution operations procedures, tests, and quality standards and functions.
Creates and updates communications and incident management activities to streamline ticket resolution.
Assists or leads the troubleshooting and resolution of issues, such as application, data synchronization, system integration, and performance incidents.
Qualifications
Bachelor's degree in computer science or engineering.
Ability to understand and successfully employ networking, storage, operating system virtualization, and integration solutions and services, and utilize appropriate environments (e.g. Test, Staging, and Production) in support of assigned responsibilities.
Ability to resolve technical problems and innovate more efficient use of IT resources.
Knowledge in Kubernetes and Docker is a MUST
Experience with AWS and on prem Virtualization
Minimum 2 years of working experience as a DevOps Engineer
Job Description Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Combine raw information from dif..
Job Description
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Requirements:
Proven experience as Data Engineer with at least 3 Years professional work experience
Strong proficiency in at least one SQL Development (Oracle, MS SQL, or similar technologies) and ETL Development Tools (Informatica, Talend or similar technologies)
Knowledge in Shell Scripting, Hadoop Platform, Big Data
Familiarity with Agile and DevOps methodologies
Preferred Qualifications:
Familiarity with Data Modeling and Design
Familiarity with Python/R and AWS Service (Redshift)
