managing the deployment, operation, and maintenance of Azure based infrastructure. This role requires a blend cloud infrastructure on Microsoft Azure.
services. Your expertise in Java development and Azure DevOps will drive our success. Key Responsibilities: Build reusable code that stands the test of time. Azure DevOps Mastery: Proficiently manage our DevOps pipelines streams). Strong background in building reusable code. Azure DevOps expertise. Knowledge of SSL encryption and
off-premises Cloud Solution (Specifically Microsoft Azure) Experience, skill and capability: 4-6 years' of selfservice BI Azure Cloud Data Engineer Competencies (ideal): Experience in Azure, in particular Data Good understanding of Data Lakes, in particular Azure Data Lake Gen2 Experience in building robust and markets and industry financial reporting standard Azure Certification will be beneficial
non-functional, and business test cases in an Azure Databricks environment with Power BI and Plotly functionality, performance, and data integrity of the Azure Databricks environment. -Utilize Python libraries completeness, and consistency of data processed in the Azure Databricks environment. -Perform data profiling created using Plotly. -Test the integration between Azure Databricks, Power BI, and Plotly to ensure seamless assurance process. 1. Hands-on experience with Azure Databricks, including data ingestion, processing
open-source databases Experience with CI / CD tools (like Azure DevOps) and Artifact Management (preferably JFrog problem-solving skills Experience with Cloud platforms e.g., Azure, AWS and Google Cloud Platform Mandatory Skills: Experience in the following technologies is beneficial: Azure DevOps, Service Fabric, Redis, Rancher, ASP.NET
Exp with cloud-based data platforms (AWS, GCP, Azure). Data architecture, governance, quality, security
platforms such as Abinitio, Denodo, IBM IIBR, Microsoft Azure, and Amazon Web Services to deliver robust and scalable technologies such as Abinitio, Denodo, IBM IIBR, Microsoft Azure and Amazon Web Services. Experience with projects
JavaScript, Angular and Azure Tech stack : C#, SQL, PostreSQL, Docker/Kubernete, Azure, C++, JavaScript, Angular
(DB2, MS SQL and Netezza) and Oracle Exposure to Azure Cloud An agile working approach is essential. Should Data Engineer, DB2, MSSQL, Netezza, Oracle, UNIX, Azure Cloud
enterprise-scale solutions using cloud platforms (e.g., AWS, Azure, GCP) and modern technologies (microservices, containers certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect). Experience with Agile development