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Required technical skills include Python, SQL, SAS, Teradata, Oracle, UNIX and MS Office related products including Excel, Pivot tables, charts/graphs, and formulas. Required technical skills include Python, SQL, SAS, Teradata, Oracle, UNIX and MS Office related products including Excel, Pivot tables, charts/graphs, and formulas.
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Develop, update and analysis of legacy batch processes and scripts using Unix, SAS, Python, and Informatica. Apply experience with web frameworks (React/Redux), Rest APIs (NodeJS), Github, cloud infrastructure, information security, databases, and programming languages (Python, SQL,etc) to build real estate software products.
$108,326 - $185,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, C Programming in UNIX) is preferred. At least 5 years of Model Risk Management experience in financial services.
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You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling.
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Good knowledge in SQL Server, PL/SQL Store procedures, Oracle 11g, SAS, Good Healthcare Domain knowledge. Experience working with SQL Server or Oracle versions 10g and 11g in a UNIX environment.
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Exposure to data analysis tools such as SAS, R, Python, Ruby, QlikView, Tibco Spotfire, and Tableau. Experience providing production support for Firco backend services on Unix servers, encompassing filter engine, batch file filtering scan, Firco continuity requester, multiplexer, and DB Client modules.
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Experience with one or more of the following is helpful but not required: SQL, SAS, MATLAB, Mathmatica, Oracle Express, Acumate. An appreciation of statistical based declarative languages/SQL/SAS and an understanding around data evaluation, matrix manipulation and modelling is highly desirable.
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Experience must include 3 years of experience with each of the following: (1) Full stack development; (2) React, Node.js, SQL, and Python; (3) Unit testing; (4) front-end languages including JavaScript, CSS, HTML and front-end web frameworks including React and Bootstrap; (5) software engineering workflows and practices, including git, CI, and unit testing; and (6) developing functional, technical, and user interface designs for applications.
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Must Haves: DataStage, Unix, SQL and Control-M. Preferred: SAS, AWS, Python, & Java. 4+ years’ ETL experience using DataStage, Unix, SQL and Control-M. o Data Engineering solution delivery using SAS, AWS (S3, Glue, Athena, EMR, PySpark, Data lake), Python, Snowflake, Dev Ops and CI/CD tools.
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Analysis, Design, development, support and Enhancements of ETL/ELT in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 8-9 years’ experience in Hadoop, MapReduce, Sqoop, Py Spark, Spark, HDFS, Hive, Impala, Stream Sets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Oracle SQL/PL-SQL, Unix commands and shell scripting.
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Proficiency in programming languages such as SAS, Python, SQL or Unix. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift.
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Development experience in SAS, SQL, UNIX. Experience in SAS/MACROS SAS/SQL. Provide guidance to users in use of SAS clients, and clients associated with the products installed on the Medicaid Data Warehouse platform.
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Experience with Teradata SQL ,SAS Linux, and SAS Mainframes ,SAS coding skills, proficient in both SAS (UNIX) or SAS Mainframe, able to recognize which SAS components are SAS mainframe versus UNIX and requiring conversion.
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2-year experience with programming in SQL, SAS, Python, R or Perl on a PC/Unix platform. 2+ years' experience developing reports using an enterprise reporting tool such as Business Objects, Power BI, Tableau, SQL Server Reporting Services, Oracle Reports.
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