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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. 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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Requires a Bachelor’s degree in Computer Science, Mathematics, or related disciplines; 3-5 years of experience in predictive analytics and experience with software such as Hadoop technologies; 3-5 years of Teradata experience and complex SQL, or equivalent; or any combination of education and experience which would provide an equivalent background.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Strong understanding of relational databases such as SQL Server, Teradata, Postgres. In depth analytical understanding of BI technologies including Database Design, Data Warehousing, ETL and Reporting.
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Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop. Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop.
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Database: Teradata, SQL Server, Snowflake. Qliksense Lead with primary focus of this position to provide technology leadership, architectural guidance, technological recommendations to support the development and implementation of reporting / refactoring Qlikview / Qliksense reports to Snowflake.
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The SQLES Team is comprised of multiple scrum level teams working towards the same goal: to provide comprehensive, reliable, and scalable solutions for the Teradata SQL Engine (i.e. Teradata Database) for our supported public cloud platforms (AWS, Azure, Google Cloud.
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Develop and maintain moderate-to extremely-complex computer programs using 4GL programming languages (such as SAS, R, SQL) and other database technology (DB2, Teradata, and Oracle). Create and/or develop new methods of analysis, database design, and performance measurement or, in some cases, adaptation of existing solutions to new areas.
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Strong skills using various third-party office and report generation products such as Microsoft Office, Business Objects, Cognos, and Enterprise Guide. 5 years of relevant, progressive experience as a Decision Support Analyst or equivalent training and experience in a business or clinical environment with direct responsibility for applying technology.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Sound knowledge of Excel and TableauSkills: Teradata, SQL, ETL, bigdataAbility to understand high-level architecture and data flow pattern. Strong working experience as a Data AnalystAdvanced SQL knowledge understanding of database structure, design, query languages (SQL), data warehousing, data modeling, and industry reporting tool.
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Teradata Labs, the technology research and development (R&D) organization within Teradata Corporation, has been turning innovative decision support technology into business results for over 30 years.
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7 – 10 years of Strong SQL and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance in RDMS ( Ex. Teradata, Oracle.
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Must also have at least three years’ experience with the following: MS Office, including Access, Word, Excel, PowerPoint, Visio, and Project; programming in SAS or SQL; database systems, such as Teradata or Oracle; end-user analytic tools such as MicroStrategy, SAS, including understanding its architecture and schema objects; and documenting requirements, use cases, test cases, and success criteria.
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Proven capability with MS Excel and relational database program(s) (e.g., MS SQL Server, MySQL, Oracle, Teradata) or statistical or data analysis programs (e.g., SAS, SPSS, Stata, R, Python) with a desire to expand those capabilities.
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