Padmi
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data engineering · healthcare claims auditing

Senior Manager

Delhi NCRPosted 1 month ago
Technology ManagementSeniorFull Time
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Location: Gurgaon Experience: 9-12 years Key Responsibilities (Primary) This role needs a senior level resource with advanced, specialized knowledge and experience in Cloud architecture, database, programming concepts and technology integrations. His/her primary responsibilities will be to design, deploy, and manage secure, scalable, and cost-effective cloud infrastructure on Microsoft Azure, utilizing services for networking, compute, storage, and automation Experience/Skillset Requirement: more than 5 years of technical experience and expertise with Azure Blob storage, Azure Databricks, Azure Data Factory, Pipelines, Apache Spark, and Python. More than 5 years experience with SQL Server, SQL, scripts, queries Experience with data engineering, database file systems optimization, APIs, and analytics as a service. experience in ETL designing, building, and maintaining Cloud infrastructure in Azure experience with setting up version-controlled CI/CD pipelines preferably using Azure DevOps or Git Create highly available, multi-region cloud solutions using Azure services like virtual machines, web apps, and storage. Knowledge of administering of Azure environment, including provisioning, configuration, performance monitoring, policy governance, and security Manage access controls, implement data protection policies, and ensure all cloud solutions meet security and compliance requirements. Must have led a team of minimum 3-5 members. Excellent Communication skills, positive attitude with proactive approach Self driven with strong analytical, problem-solving, and collaborative skills for working effectively in cross-functional teams. Nice To Have Experience with data mining architecture, modeling standards, reporting and data analysis methodologies. Good to have knowledge of Marketing Domain preferably in B2B setup Experience with PySpark Experience with Reporting: -Power Bi, Tableau Experience With AI/ML in Azure

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