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Strong hands-on experience in Databricks Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Expertise on Azure Cloud platform Good SQL knowledge Knowledge on orchestrating workloads on cloud Ability to set and lead the technical vision while balancing business drivers Strong experience with PySpark, Python programming Proficiency with APIs, containerization and orchestration is a plus Experience handling large and complex sets of data from various sources and databases Solid grasp of database engineering and design principles.
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5+ years of experience in database setup, performance tuning, and complex data analysis in Azure SQL, DB2 and Cosmos DB, MongoDB, etc. Experience Azure cloud technologies and DevOps products like AzDO.
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Experience with Release Management, Source Control, and Deployment concepts and technologies such as ANT, SFDC Metadata API, GitHub, Azure DevOps CI/CD Pipelines. Experience with Release Management, Source Control, and Deployment concepts and technologies such as ANT, SFDC Metadata API, GitHub, Azure DevOps CI/CD Pipelines.
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DevOps practices for CI/CD, release management, and automation using Azure DevOps, Selenium, JUnit, or similar technologies. Microsoft Azure Services: Functions, Kubernetes, CosmosDB, Storage, App Service.
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Must have skills: The candidate should have experience with SBC, SIPREC, networking & voice, and AWS or Azure. Senior Genesys Cloud Developer with experience in Voice Biometrics Authentication technologies and familiarity with Call Center technology, Architecture, and Integration with multiple channels is needed for a Hybrid position in PA or TX.
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