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Microsoft Windows Server, Exchange, SQL, and 365 and Azure platformsG-SuiteNetwork design and administration (TCP/IP, DNS, SNMP, VLAN, SDWAN)Backup and Disaster Recovery – (Acronis and Veeam)Virtualization (VMware and Microsoft Hyper-V)CybersecurityIT Regulatory Compliance frameworks (PCI, HIPAA, NIST, CMMC)Cloud platforms, ie AWS, Azure, Private CloudVPN setups – preferably FortigateLinux.
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Strong experience in databases (Oracle, SQL Server, PostgreSQL, etc.) , data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (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), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Proficiency in database management systems, including relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Familiarity with cloud platforms (e.g., AWS, Azure) and their data services (e.g., S3, Redshift, BigQuery.
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion.
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Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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This position is designed to support teaching of business analytics courses which may include one or more of the following topics: business statistics, predictive analytics, programming (Python), database (MS Access, SQL Server (SSMS), Visual Studio, project management, advanced data management (AWS, Azure, Hadoop), optimization, and decision processes.
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Experience in databases (Oracle, SQL Server, PostgreSQL, etc.) , SQL and API technologies. With 99.9% uptime and self-healing pipelines, Fivetran enables thousands of leading brands across the globe, including Autodesk, Cond Nast, JetBlue, Lufthansa, Morgan Stanley and Pitney Bowes, to accelerate data-driven decisions and drive business growth.
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Strong Database experience with Oracle, SQL Server, MySQL, PostgreSQL and other. Additional Cloud Data warehousing experience with Snowflake, Azure Data, Redshift and other. working with deployment and data pipeline technologies such as Airflow, dbt, etc.
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2+ years with databases such as SQL Server, Oracle, MySQL. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with cloud based data services offered by Azure, AWS and Google.
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They enjoy the challenges of consulting and thrive to knock the socks off of clients. Experience with data visualization tools such as Power BI and Tableau. 2+ years data warehouse, dimensional modeling design and architecture.
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Professional experience with connecting database frameworks on AWS services and Azure Dev/Ops, SQL Server. -Expert knowledge of RDBMS, Oracle/SQL Server, Data Architecture, DML, DDL, and data integration.
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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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Experience developing, integrating, and deploying solutions utilizing Team Foundation Server and SQL Server Data Tools (SSIS & SSRS) within Visual Studio is required. Five (5) of more years of proven ability to write and optimize complex SQL queries, procedures, and functions in SQL Server 2012+ database environments are required.
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Knowledge of relational databases like MySQL, Oracle,SQL Server & experience in writing SQL. Knowledge of cloud based technologies, especially AWS, Azure or GCP. You will directly manage a team of engineers that work with Viant’s ad server, managing a high-volume, low-latency application that processes billions of unique requests a day.
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