Required Skills

DevOps Data

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 23rd Aug 2022

JOB DETAIL

ole: Azure DevOps Engineer Location: Remote/ USA Long Term Neec 8+ years of experience No OPT and CPT DUTIES AND RESPONSIBILITIES: The following list reflects essential duties and responsibilities of the DevOps Engineer. This list is meant to provide an overview and is non-exhaustive. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Confirms project requirements by reviewing program objective, input data, and output requirements with analyst, supervisor, and client as necessary. Builds, maintains, and controls CI/CD pipelines Design to reduce Azure hosting costs Code and data deploy together Integration of automated testing with CI/CD pipeline CI/CD pipeline for ETL: Azure Data Factory, Databricks, MLflow Engagement and monitors feature flags in production Run test scenarios with Azure Fault Analysis Service: Provides guidance to a team of developers and reviewing modifications to the source code. Maintains the Continuous Integration / Continuous Deployment (CI/CD) pipeline. Understands the complexity of product workflow and the impact of the additional features being implemented to products and identify any potential customer workflow impacts. Member of escalation plan and disaster recovery plan. COMPETENCIES The following is a list of personal and professional competencies that must be present to succeed in this role. Demonstrated strong competence in continue integration and continuous development: Continuous Integration / Continuous Deployment (CI/CD) methodologies. RESTful web services and WebAPI. Relational databases and document databases, specifically Azure SQL and Cosmos DB. Databrick and Azure Data Factory. Data processing (ELT) and automating these tasks. Azure Synapse Analytics and data warehousing. Git. Software feature flags in deployments. Demonstrated Azure pipeline experience with these technologies: Azure Build and Release Pipelines Azure Fault Analysis Service Azure App Services Azure Functions and Function Apps Azure Logic Apps Azure Service Bus Azure Event Grid Azure SQL Azure Cosmos DB Azure Data Factory Azure Databricks Thanks & Regards Pradeep G Team Lead

Company Information