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Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Provision, configure, and manage cloud database instances on various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB.
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Use of SQL Server database, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and Power BI will be required.
$77,250.1 - $113,943.15 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse. Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse, and other data sources.
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Proficiency in SQL and experience with database administration tools. Automate routine database tasks using scripting languages and infrastructure as code tools (e.g., Terraform, Ansible.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Database experience - Oracle SQL/PLSQL, MongoDB, SQL Server, RDS, DynamoDB. You should have experience with core java, spring boot, microservices, REST API and angular development with database expertise.
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Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake). Proven work experience as a Data Analyst, Data Engineer, Database Developer, Data Architect, Business Analyst or similar role.
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Net Core, Java, OO Languages, SDLC, DB integration) and database development, e.g. Oracle (PL/SQL), Microsoft SQL Server (T-SQL), PostgreSQL. Global leader in the steel industry is seeking a candidate to manage Level 2 process automation projects supporting the melt shop and continuous caster through the design and implementation of applications, databases, hardware, and HMI systems to meet the business goals.
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Type: Full-time, Permanent (W2 Only. Visa Sponsorship is not available) Location: North Austin, TX (Hybrid – 3 days onsite per week) Are you a SQL Database Administrator with experience in SQL Server and Azure SQL Database.
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High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Understanding of data modeling/visualization, database design principles, and data governance practices.
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Health care business operations, hospital/physician information systems, and database/data warehouse management specific to the following applications or tools is preferred: Allscripts, Epic, Cerner Millennium, Syntellis Performance Analytics, Business Objects, PeopleSoft G/L, Tableau, MS Access, SQL Server, and Visual Studio.
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5+ years Engineering of Enterprise grade Database systems such as Sybase, Oracle, SQL Server, DB2, and. Nice to Have Cloud Database knowledge of platforms like Diamanti, Nutanix, Kubernetes, Docker, Openshift and Azure Developer mindset with skill in Ansible, Python, Java or C/C.
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Experience with Geographic Information Systems (GIS) and database software such as ArcGIS, AutoCAD, MS-Access, SQL Server, or Oracle for spatial analysis and data visualization. Work with ArcGIS, AutoCAD, or relational database management software (such as MS-Access, SQL Server, or Oracle) to integrate spatial data into modeling workflows.
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