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SQL, SOAP, WSDL, WADL, PERL, PowerShell, VBS, Eclipse, Postgres, Oracle, Jenkins on a Windows platform. Experience with the following: JEE, SQL, application servers (Tomcat, WebLogic, JBoss), scripting.
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Solid understanding of database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), including schema design, query optimization, and connection pooling. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes.
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Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Experience coding with R, SQL, STATA, SPSS or equivalent. Experience coding with R, SQL, STATA, SPSS or equivalent. Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics.
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7+ experience with various simple and advanced analytical software (Excel, SAS, SQL) strongly preferred. Ideal candidates will live within 50 miles of one of our Pulse Point locations in Indianapolis, IN, Atlanta, GA, Chicago, IL, Richmond, VA, Norfolk, VA, Mason, OH, Portland, ME, St. Louis, MO, Wallingford, CT, Louisville, KY, Wilmington, DE, Tampa, FL or Nashville, TN.
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Advanced programming skills in SQL and Python, and proficient with common data science Python packages (including Pandas, SciPy, Scikit-learn, Prophet, LightGBM, TensorFlow/PyTorch etc. Experienced with working on big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks.
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Experience using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data. Experience using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data.
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Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata. Ability in data science languages/tools such as SQL, R, SAS, or Excel. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth.
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JAVA, Node.js, React, Python, JavaScript, HTML5, CSS3, AJAX, XSL, JQuery, Angular JS, Oracle, MySQL, SQL, PL/SQL, Postgres, PostGIS, GraphQL, Mapbox, Perl, Hibernate, EJB, Spring, JMS, JSP, SVG, C, C.
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SQL, Python, Git And Jenkins. Stored Procedure, SQL performance tuning, JDBC / ODBC. Experience with Keychain, HashiCorp Vault, CyberArk, PingID and Active Directory. Experience with Snowflake.
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Preferred some knowledge on database technologies like MySQL/MSSQL/Oracle/MongoDB and SQL queries. Strong expertise in implementation, solution development, Integration and administration of Automation and configuration management tool like Ansible, Jenkins, Gitlab required.
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SQL, XML, XQuery, XPath, HTML/XHTML, CSS, Python, Shell Scripting, JSON, JavaScript. Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci) Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano.
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Strong knowledge and experience in SQL using various database platforms such as Oracle, MySQL, Postgres, MS SQLServer, SQL Azure, or similar cloud service equivalents (e.g. AWS RDS or Azure SQL.
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Candidate will need to be experienced with Azure Data Factory Pipeline or SSIS development for both Azure and local Sql Server environments. To manage these interfaces the candidate will need experience with Sql Server (SSIS) and Azure Data Factory pipelines.
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Skills: Oracle Application Express (APEX), APEX Plugins, HTML, Visual Basic, Java, JSP, Java Script, Java Servlet, PL/SQL, CVS, Eclipse, Apache, WebLogic, IIS, Oracle, SQL Server, OBIEE/Oracle Analytics, Oracle Data Visualization, D3, MS Access, SQL, Agile Software Development, Software Development Life Cycle, SAP Crystal Reports (2016) or greater, Identity Management, WordML, Word, Excel, PowerPoint, OLE automation, LDAP, SFTF, FTP, JSON, XML, XSLT, Toad, ASPOSE For Java.
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