*1) Role: Cassandra DBA* * Location: Philadelphia, PA* * Visa Status: USC/GC and TN only*
*Position Responsibilities* · Support all areas of the database clusters (Cassandra & Oracle), ensuring all databases run at optimal performance. · Ensure that industry-wide security standards are properly implemented. · Develop and optimize complex NoSQL schema structures. · Build and support Cassandra / DataStax cluster nodes. · Constantly looks for opportunities to improve performance by doing performance tuning · Do profiling of databases and estimate capacity needs. · Perform Incident (resolve issues) and Problem management (RCA’s) duties · Build reporting and metrics related to databases. *Minimum Requirements* · Bachelor’s degree in information technology or related field. · 10+ years of experience in data integration, data movement and database administration *preferred.* · Proficient in the following NoSQL database technology: Cassandra / DataStax (expert) · Basic experience with Oracle 11g and 12c RAC, SQL Server, or DB2 LUW *preferred.* · Experience with Cassandra configuration options *required*. · Proficient in installing, configuring, upgrading and patching all DBMS listed above, as well as OLTP performance troubleshooting. *2) Role: SAP PP/QM* * Location: Santa Clara, CA* * Duration: Short Term* * Visa Status: USC/GC and TN Only* *Job Description* Perform document sorting, preparation, scanning and indexing. Set up, operate and monitor scanning equipment ensuring quality of scans. Interpret errors and take appropriate corrective action. Index scanned information by assigning proper coding for processing. • Configure SAP / Build programs according to the design • Develop functional specifications, test plan, test script for product test • Perform unit test, product test and support key users in User Acceptance Test • Develop training materials for key user training • Train SAP functionalities to CLIENT key users • Provide and develop data conversion template and guide CLIENT key users to prepare conversion data accordingly • Perform post support for 1 month after go live date *3) AWS Big Data Architect ( with Hadoop )* * Location: Denver, CA* * Visa Status: USC/GC and TN only* *Job Description: * The Big Data Engineer is responsible for optimizing and growing our data analytics pipeline architecture. This person will also focus on how data flows from the system, how data can be effectively collected at scale for cross-functional and partner analyses. Responsibilities:- Create, maintain, and service data analysis pipeline and ecosystem-Build in ETL processes pulling data from a wide range of sources-Identify, scope, and implement process improvements i.e. automation, data delivery, scalability infrastructure, and so forth-Build analytics tools, or leverage existing tools, to provide actionable insights in regards to end user behavior, aggregate patterns, and partner data products-Assemble large, complex data sets that meet business requirements-Troubleshoot and determine root cause of complex data provenance, metadata issues, and engineering questions alongside engineering team- Experience with AWS/Cloud Big Data computing design, provisioning, and *tuning.-Hadoop* <http://tuning.-hadoop/>, Spark, different data file formats, NoSQL engines- Python and Scala-Strong project management and organizational skills-Expert communication, facilitation, and collaboration skills Education: Bachelors degree or the equivalent combination Thanks... Uday Varanganti Recruiting Specialist [email protected] O: (785)380 8559 -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . Please read http://groups.google.com/group/rtc-linux/web/checklist before submitting a driver. --- You received this message because you are subscribed to the Google Groups "rtc-linux" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/rtc-linux/CAEmiLYvEJp5uRgMGMt0LSgi2sOJD_Y4GuO1MsjDhws1pWUXhVg%40mail.gmail.com.
