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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Data analytics through SQL Server Reporting Services (SSRS), SQL Server Analysis Services, and Power BI? Data integration and processing with scheduled and event-driven triggers, using SQL Server Integration Services (SSIS.
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MS SQL Server: in-depth understanding of tables, stored procedures, indexes, triggers, DTS packages, SQL locks. NET or Java application servers and optimizing server performance.
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Experience with legacy data warehouses (on SQL Server or any Relational Datawarehouse platform) Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL.
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Must have programmatic experience of SQL, Python, Apache Spark. Data Engineer / ETL Developer (GCP and SQL ) The client is seeking a Data Engineer, with experience in Google Big Query, GCP, ETL Pipeline, BI, Cloud Skills, Microsoft SQL with experience in both building and designing.
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Strong proficiency in R, Python, SAS, Visual Studio SSIS and MS SQL Server. Build and run data queries from multiple systems and prepare data to be used as input for quantitative models and report generation using Visual Studio SSIS and MS SQL Server.
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Experience implementing and supporting Microsoft Azure infrastructure and topologies (Operations Management Suite, Application Insights, Azure App Services, Azure SQL Databases, Azure Site Recovery, Azure Backup, Security Center, Azure Networking, Azure Storage, Azure Automation.
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Proficiency in using Cloud Platforms such as GCP/Azure/AWS. Knowledge of tools like Composer, Kafka, PySpark and SQL. Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
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Experience in network security (Cisco ASA, IPS, VPN, RSA SecurID, PKI, cryptography), security controls for LAN/WANs, client server, web-based systems, and databases. Experience in network security (Cisco ASA, IPS, VPN, RSA SecurID, PKI, cryptography), security controls for LAN/WANs, client server, web-based systems, and databases.
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Inspect the cleanliness and presentation of all china, glass, and silver prior to use.
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Mainframe Infrastructure and Application skills, such as but not limited to z/OS, CICS, RACF. Seeking an experienced Cyber Security Engineer with Mainframe Infrastructure and Applications Skills to join our Team.
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Azure and Cloud Technologies : 7+ years of hands-on experience with Azure migrations, Azure Security, Azure SQL, Azure Active Directory, Terraform, Infrastructure as Code, and disaster recovery.
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Data integration and processing with scheduled and event-driven triggers, using SQL Server Integration Services (SSIS) and cloud based pipelines like Azure Data Factory or Fabric Data Factory Data analytics through SQL Server Reporting Services (SSRS), SQL Server Analysis Services, and Power BI.
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Enterprise-Level Cloud Management (5+ years) - Azure PaaS Services / Security and Provisioning / API Management Policies / Event Hubs / Azure SQL / IAM / Azure AD / Azure B2C Configuration / Cloud Security Models / Azure Key Vault / HSTS SSL TLS Ingress Control / Certificate Management / Azure Security Center Threat Detection / Azure DevOps.
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Advanced working experience with two or more of the following: Unix/Linux, Windows Server, Oracle, MSSQL, MongoDB. Experience with two or more of the following observability tools: AppDynamics, Big Panda, Elastic Search (ELK), Google Cloud Logging, Grafana, Prometheus, Splunk, Thousand Eyes.
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vmware sql server jobs Company: Dahl Consulting in Dallas, TX
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