DevOps Engineer
12 hours ago
Who we are: Diggibyte Technologies is a technology consulting and services company. We help organisations build innovative products and solutions using big data and analytics on the cloud and onpremises. We are looking for an experienced (0 -6 years) DevOps Engineers to join our team in Bangalore. Someone who can help client to build scalable, reliable, and secure Data analytic solutions. Technologies you will get to work with: -1.Azure Databricks2.Azure Data factory3.Azure DevOps 4.Spark with Python & Scala and Airflow scheduling. What You will Do: -As a DevOps engineer you will work as an integral part of our Cloud DevOps team for a Retail client. The ideal candidate has extensive DevOps knowledge and experience and has previously been part of a DevOps team running an analytical ecosystem in modern cloud -based big data systems in a fast -paced, agile environment.The Specific Focus for The DevOps Engineer Is On Processing Engine Development As Well As The Design, Development, Automation And Optimisation Of Its Usage In Client's Analytic Ecosystem: * Liaise in a geographically dispersed team by co -location with our client across globe. * Participate in a continuous delivery pipeline to fully automate deployment of the highly available cloud platform that supports multiple teams/projects * Build tools for deployment, monitoring and operations. Troubleshoot and resolve issues in our development, test and production environments * Strong working experience in CI/CD processes * Work with platform architects on software and system optimisations, helping to identify and remove potential performance bottlenecks * Stay up -to -date on relevant technologies, plug into user groups, understand trends and opportunities to ensure we are using the best possible techniques and tools * Understand, implement, and automate security controls, governance processes, and compliance validation * Design, manage and maintain tools to automate operational processes Required Technical and Professional Expertise: • Professional programming experience and hands -on experience in building modern data platforms/pipelines. • Programming languages: Scala, Java, Python is plus • Frameworks: Spark, Hadoop, Hive, Kafka • Databases: Azure Synapse, NoSQL, Strong in Relational databases • Data pipelining: Azure Data factory, ELT • Scheduling: Airflow • Cloud: Azure Stack, Azure DevOps, Azure Databricks • Experience in Kubernetes, Docker, and Virtualisation • DevOps: Experience in Agile, CI/CD • Previous experience gained in mid -size/large, international companies Job Functions: Information Technology Employment Type - Full -time Who can apply - Seniority Level / Mid / Entry level
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