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Experience with Microsoft Azure (SQL DB – IaaS & PaaS, Fabric, DataFactory, CosmosDB, Azure Cognitive Search, BlobStorage, etc.) This position will see you working across support and project work that the Azure stack as well as the MS Data stack in SSAS, SSIS and SSRS. In addition the role requires a solid knowledge within information security.
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Excellent SQL skills as well as experience with common data and statistical toolkits such as R, Python, PySpark etc. Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc.
$70 - $79ExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Kforce has a client in search of a Senior SQL DBA in Fort Washington, PA. Support and continue to develop our business intelligence capabilities: SQL Reporting Services and Crystal reports.
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Strong data mining skills, proficient with Excel, SQL, adept at data visualization & problem solving with a data-first mindset. Ability to conceptualize business problems and solving them through data analysisExperience with SQL scripting and self-serving on data from multiple data platforms.
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I am on a daily basis querying the Google Cloud data warehouse to search for data elements requested by external vendor for file requests. Lastly, in terms of data, tech, and SQL portion of the job of a BSA is to perform UAT testing for file feed requests or enhancements to already existing file feeds.
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We are in search of a seasoned T-SQL Database Developer to join our dynamic team. Employ SSIS for seamless data imports from various sources like text files, Excel, and XML, following SSIS package deployment standards.
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We are in search of a skilled Data Scientist to join our Technology Team. The role involves developing Large Language Model (LLM) applications, including specialized agents and tools, to assist our employees and clients in answering questions and streamlining daily operations.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), Data Migration service (DMS.
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Advanced knowledge of SQL, comfortable writing and debugging SQL queries and extracting from Azure SQL Server; knowledge of diverse data stores and data integration tools is a plus (Azure Databricks, Snowflake, Data Factory, Matillion, etc.
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In coordination with the leadership of the Research Administration team, the coordinator will work with other units across the university based on reporting needs, including data from the Temple University Hospital System and Fox Chase Cancer Center.
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Are you a Senior Data Analytics Manager who has a strong SQL, ETL and Looker background looking to help transform the way data impacts a telemedicine brand? Are you a Senior Data Analytics Manager who is well versed in marketing analytics, strong in writing SQL queries, and can derive actionable insights from complex data sets.
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HTML, Java, R, Python, SQL or similar language coding. Search engine optimization or search engine marketing. Data visualization including Tableau or Google Data Studio or PowerBI.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Assist cyber analysts in solving complex big data search processing challenges using expert SPL knowledge. At least 3 years of hands-on Splunk Administration experience in a multi-indexer search head cluster environment.
$86,000 - $138,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Statistical programming skills (Python or R) and big data manipulation in SQL; (a plus to have experience building predictive models) Deep knowledge on key marketing channels (TV/OTT, Search, Social, Programmatic, and offline) and experience with MMM and MTA measurement solutions.
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