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Experience with Azure products and services including Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services.
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Technical expertise with MS Exchange, MECM (Microsoft Endpoint Configuration Manager), MS SQL, WSUS, Windows operating system and Windows Server environments. Specialized knowledge with Red Hat Satellite Server, Capsule Servers, System Build Automation (Ansible, Red Hat Ansible Tower, Red Hat Automation Controller) and PostgreSQL.
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NET, SharePoint, SQL/SQL Server, Power BI, HTML, Windows Forms, Web Services, and XML; Knowledge of scripting languages: JavaScript, Linux/Unix Shell Scripting, Windows PowerShell; Understanding of portal architecture design; Experience with versioning and change control software (Team Foundation Server (TFS)/Azure DevOps preferable.
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Skills: Python, VBA, Batch Scripts, Windows Server configurations/load balancing, SQL, MS Access databases, Business system analysis. Being a member of the Enterprise Automation Team, you will be responsible for the development of tools (e.g., SQL, MS Access databases, Python, VBA, Batch Scripts, Windows Server configurations/load balancing) that facilitate preparation and presentation of business metrics related to divisional benchmarks and the Balanced Business Scorecard.
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Formal AWS training or advanced AWS certifications demonstrating deep knowledge of AWS Compute, AWS Relational database Systems, No Sql databases, Memory processing, server less designs, orchestrations & data streaming (Kafka or Kinesis) is a must.
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Exposure to the various Database like Relational (Oracle / SQL Server / DB2 / Greenplum etc. Work experience on any of the data sources such as Relational (Oracle, SQL Server, DB2 etc.
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Develop ETL, data warehouse, cubes, dashboards, visualization, and reports for Retail sales and inventory analytics using SSIS (SQL Server Integration Services), SSAS (SQL Server Analysis Services) and SSRS (SQL Server Reporting Services.
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Your role will encompass overseeing the complete lifecycle of data acquisition, transformation, presentation, and analytics using SQL Server, Azure Data Lake (ADL) and PowerBI. With the help of team made up of DBAs, ADL engineers and Power BI analysts, you will manage data analytics initiatives and provide production support to current infrastructure.
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As a Lead Java Engineer, you will take a lead role in the detailed technical design, hands-on development, and implementation of critical Global Wealth Solutions Applications using existing and emerging technology platforms (Java, Angular, Oracle/SQL Server, SSIS, and more.
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We are currently seeking a Senior MS SQL Server DBA professional to join the team. Senior MS SQL Server DBA. MS SQL Server DBA. Experience working with SQL Server failover clustering and mirroring.
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Strong proficiency in SQL database technologies such as PostgreSQL, Oracle, SQL Server, and MySQL, including developing database-specific SQL queries, data modeling, migrations, and integration/migration strategies.
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Create a new Tenant DB / including migration of Tenant DB from one Hana to another Hana DB.Set up SDI and SDA connections with External DB, such as Oracle DB, SQL Server, and Hana DB. Hana Admin Managing multi-tenant/HSR implementation of Hana on Cisco server and Red hat Linux.
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Requirements:University or Bachelor’s degree or equivalent Minimum 5 years of technical implementation experience Knowledge of Unix (Linux Redhat, AIX and Solaris) and Windows operating systems Knowledge of RDBMS & SQL relationship databases (Oracle, DB2 and MS SQL Server) Knowledge of IBM MQ – queueing system Configuration of Webservers: WebSphere, WebLogic and Apache Tomcat – at least one.
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NET, JavaScript, and SQL for Windows in an Oracle Cloud (OCI) environment. Previous experience as a System Administrator, Web Server Administrator, or Security Analyst. Experience with OS, Database and Web server hardening best practices.
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Software Languages: Python (or similar backend OOP language), HTML, CSS, Javascript, (React optional), SQL, Bash experience. Demonstrated proficiency with the following technologies: Python (or similar backend OOP language), HTML, CSS, Javascript, SQL Databases, SQL language, AWS, Okta/SSO technologies.
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