Career with GAVS

• 5+ years of experiences in Netezza database administration
• Expert knowledge of Netezza appliance systems and PostgreSQL
• Install and configure PostgreSQL 9.2/10
• Implement best practices on PostgreSQL Databases and Servers Backup
• Experience in configuring and running a PostgreSQL database on Kubernetes

Experience: 8 – 10 years

• Experience in Installing and configuring RHEL 7.
• Provided account management –Linux /  Unix id’s, Passwords and File Permissions, for all new users in the System administration and Development groups.
• Planned for Storage and checked open File system growth by adding necessary space on regular basis.
• Configuring Networking using nmcli, Security of  SELinux .
• Responsible to configure role based access by using sudo utility in Linux.
• Knowledge on Linux systems including Mail Servers, DNS Server, FTP, NFS, SAMBA, DHCP, DNS,  Apache, Yum, LVM, RPM, Disk Management, SSH.

Experience: 5-8 years

• Minimum 4 years’ Experience in managing Linux based VDI environment
• Excellent oral & written communication.
• Knowledge in basic Networking.
• Knowledge in Managing Windows Active directory.
• Should be able to answer calls and resolve issues
• Good Trouble shooting knowledge in Windows & Linux
• Good Trouble shooting knowledge in Linux based VDI Platform.
• Good Knowledge in Linux scripting

Experience: 4 – 8 years

• 4-8 years experience
• Extensive work experience as a DevOps Engineer
• Work Experience on Azure Cloud Platform – Azure DevOps, Azure Pipelines
• Experience in migrating existing CI/CD process to Azure
• Should have managed CI/CD pipelines for .Net and Java projects
• Working experience with git, Maven, Jenkins. Should have basic troubleshooting skills on application builds
• Working knowledge of databases and SQL, MS SQL, MySQL
• Write scripts and automation using PowerShell/Perl/Python/Groovy/.Net
• Experienced in Deploying and maintaining CI/CD pipelines across multiple environments

Experience: 4-10 years

• Experience in designing highly scalable, distributed data pipeline frameworks using advance framework tools.
• Deep understanding of Data pipeline architectures like Lambda architecture & Kappa architecture
• Certified professional in AWS and Cloudera Big Data Hadoop and various technologies.
• Skilled in identifying valuable data sources and automate collection processes, as well as effectively undertaking the preprocessing of structured and semi-structured.
• Knowledge of computer science and applications, design techniques and analytics to solve problems while extracting data from multiple sources.
• Experience designing, reviewing, implementing and optimizing data extract transformation & load processes in the Big Data ecosystem and Data warehouse applications.