Azure DevOps Engineer (Full Time Contract - Indian Only)
Budget: ₹150,000 – ₹250,000 INR
We are looking for a Azure Databricks DevOps Engineer who takes responsibility and ownership in providing software solutions and contributing to the overall success of the team.
Requirements /Tech Stack: At least 5+ years Azure DevOps and in depth knowledge on Azure Databricks Development, administration and DevOps Design, build and implementation
Designing and Implementing highly performant data ingestion pipelines from multiples sources using Apache Spark and/or Azure
Accelerate the rate at which your colleagues iterate on code and deliver features to customers using the Databricks Platform or Databricks Runtime
Interacts with Architects, Business Owners, 3rd party vendors and, Peer DevOps teams to deeply understand the data flow and business use cases
Experience Performance Tuning of Spark SQL running on DATA LAKE storage Strong Knowledge on Databricks and Cluster Configurations.
Improve efficiency and productivity across the entire organisation.
Develop tools to be fast, CLIs intuitive, giving your colleagues (and yourself) the best experience possible
Passionate for automation through automated workflows, automated testing, automated deployments, automated monitoring. Basically to automate away any tedious work
Comfortable in a heterogeneous environment and able to quickly learn new technologies. The team deals with a variety of environments from Kubernetes services to Jenkins automation, Scala libraries to Python scripting, writing graph algorithms to debugging 3rd-party JavaScript, Dev-Tools does it all.
Experience with monitoring frameworks for large systems
Experience with cloud APIs (e.g., a public cloud such as Azure)
Requirements /Tech Stack: At least 5+ years Azure DevOps and in depth knowledge on Azure Databricks Development, administration and DevOps Design, build and implementation
Designing and Implementing highly performant data ingestion pipelines from multiples sources using Apache Spark and/or Azure
Accelerate the rate at which your colleagues iterate on code and deliver features to customers using the Databricks Platform or Databricks Runtime
Interacts with Architects, Business Owners, 3rd party vendors and, Peer DevOps teams to deeply understand the data flow and business use cases
Experience Performance Tuning of Spark SQL running on DATA LAKE storage Strong Knowledge on Databricks and Cluster Configurations.
Improve efficiency and productivity across the entire organisation.
Develop tools to be fast, CLIs intuitive, giving your colleagues (and yourself) the best experience possible
Passionate for automation through automated workflows, automated testing, automated deployments, automated monitoring. Basically to automate away any tedious work
Comfortable in a heterogeneous environment and able to quickly learn new technologies. The team deals with a variety of environments from Kubernetes services to Jenkins automation, Scala libraries to Python scripting, writing graph algorithms to debugging 3rd-party JavaScript, Dev-Tools does it all.
Experience with monitoring frameworks for large systems
Experience with cloud APIs (e.g., a public cloud such as Azure)