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Hands on experience with ETL tools (Informatica Datahub/IDQ, Talend) Hands-on experience with Monitoring and Alerting processes in Distributed, Cloud and Mainframe environments.
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Expertise in configuring the Apigee Private Cloud platform, including keystores, Truststores, and KVMs. System/network administrator level experience of Unix/Linux Hands-on experience with Terraform, Python and Unix shell scripting is required.
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Hands on experience in Unix, Linux, Windows, SQL/PLSQL. Maybe required to work Tuesday through Saturday or Sunday through Thursday on rotational or permanent basis. Scripting languages (Bash, Python, Ruby, Shell, Perl, JavaScript.
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Hands on experience in designing and building data pipelines in Nifi/Airflow/Apache Beam in GCP (Data Proc and Big Query) for ETL related jobs. One or more years of programming experience in GCP Data Proc, Cloud Shell SDK, Cloud Composer, GCS, Cloud Functions & Big Query.
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Hands-on experience on ETL Tools in Talend Data Studio. Fair knowledge on scripting languages such as Shell Scripts, PowerShell, Perl, Python etc. Hands-on experience in design and implementation of Data Warehousing solutions.
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Have previously worked on an enterprise platform team that supports multiple Software Development product teams. Experience in setting up continuous integration of source code pipelines using Gitlab, Jenkins, Terraform, and continuous deployment pipelines using Artifactory Experience with high availability, load balancing and failover configurations with Apigee.
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The candidate should have past hands-on cloud experience, a demonstrated track record of production infrastructure implementations and possess coding experience managing API calls and at least one prior job with IT infrastructure architecture, delivery, or operations team leader.
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Hands on automation experience with Python, YAML, Unix Shell scripting, etc. Solid hands on experience (5+ years) with Aurora Postgres. Provide DBA support on all aspects of databases administration including provisioning, backup/recovery, replication, deployment and real time production troubleshooting responsibilities on Oracle and Aurora Postgres.
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Must have hands-on experience with SQL, Shell Scripting, bash, Korn shell scripting, SQL performance tuning, relational model analysis and data migration. Should have strong skills on ETL design patterns and data architecture, UNIX and Db2.
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The Azure Cloud and DevOps Trainer/Developer/Engineer is a versatile role that combines the responsibilities of developing and delivering Azure cloud migration from on-premises systems to Microsoft Azure cloud with High Available/DR capacity and DevOps training programs with the hands-on work of developing and maintaining Gitlab DevOps tools and pipelines.
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We take a full hands-on approach with our process, understanding our clients and candidates needs in order to find each the right fit from a skillset and a cultural perspective Job Description: Facilitate new installations, implementations, maintenance, education, and author documentation for support of the customer environment.
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Strong hands-on experience in shell/python scripting language and good understanding of Linux/Unix. Hands on experience in Jenkins , RLM, Ansible. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.
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Hands On Technical - Oracle, PL/SQL, DB, Big Data, Spark, scala. Experience in Linux/Unix Shell scripting(mandatory) and Python(optional). The range displayed on each job posting reflects the minimum and maximum salary target for the position across all Canada locations.
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Proficient in Shell scripting with hands-on experience in a Linux environment. Master your craft with leading training programs and hands-on experience. We have a culture built on opportunity, inclusion, and a spirit of partnership.
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Hands-on experience in build and administer VMs and Containers using tools such as Docker, and Kubernetes, Responsible for maintaining/Enhance existing scripts for Infrastructure deployment using Git Actions, Python/Shell scripting, and Azure CLI.
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