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Lead the integration of Power BI with AWS and Azure cloud platforms, leveraging services such as AWS Redshift, S3, Azure SQL Database, and Azure Data Lake. Provide technical expertise and guidance to team members on best practices for data visualization and Power BI development.
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Transform technology into opportunity as a Database Analyst/Programmer - Senior with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most. Our work depends on Database Analyst/Programmer - Senior joining our team to support the US Army Intelligence and Security Command (INSCOM.
$237,896 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of Databases and General Troubleshooting (tuning and optimization, deadlocks, keys, normalization) in any Relational Database Engines (MySQL, PostgreSQL, Oracle, SQLServer) Currently, ManTech is seeking a motivated, career and customer-oriented Lead CNO Data Science Software Engineer to join our team in the Hanover, Maryland location.
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Key Tasks : s The Database Engineer will provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. dcca.com Database Engineer 2 Candidate must have an active TS/SCI w/ Poly For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure.
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S The Database Engineer will provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. s Database experience using MongoDB or MariaDB; including deployment and management of the database itself, debugging of optimization issues, and scaling.
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An Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
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Write optimized SQL queries and manage databases, as Azure data analysts frequently interact with Azure SQL database and other SQL-based services. Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and analysis.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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As a Systems Data Modeler with MTSI you will design and curate data representation models, standards, and architectures in concert with data scientists, system engineers, and database engineers to enable a wide range of data query and analysis, data acquisition, data translation, and archive recovery activities.
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Design STAR or SNOWFLAKE database schema utilizing industry best practices to build Data warehouse, data marts, views, cubes and data sets/products. Experience working with Role based security at database, ETL jobs, data exports level.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Move historical data from the legacy HCM system to a Database as a Service (DBaaS) Virtual Machine (VM) instance. Facilitate the incremental migration of existing Agency Human Capital Management (HCM) data from the PeopleSoft HCM system to the new Cloud HCM environment.
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Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data. MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources.
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Enter that information into the database for the client. The OpportunityDescriptionWe're looking for a Data Entry Specialist , working in the IT (excluding Telecommunication) industry in Jessup, Maryland, United States.
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Bachelor's degree from an accredited college or university in Computer Science or STEM or 4 years of additional database structure and data mining experience may be substituted for a bachelor's degree.
$214,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with database management systems such as MySQL, PostgreSQL, or MongoDB. Making raw data accessible, intuitive, and data scientist ready. Define requirements and aid in the development of custom applications to support the self-service paradigm for software engineers and data scientists.
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Database and analytical skills. Designing and implementing ETL procedures for intake of data from multiple source systems; as well as ensure data quality and cleansing is verified.
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database job Title: data in Odenton, MD
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