DevOps Engineer

• 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. 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 Databricks

2.Azure Data factory

3.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