Hello,
Hope you are doing good! This is Arjun Shah from Savvy Technology Solutions LLC and I am recruiting on behalf of our client in TEXAS. After accessing your online resume, I believe you may have the qualifications and experience I am looking for to fulfill their position. Please revert me beck with your most recent resume along with contact details and Rate expectation. Role : Hadoop DBA Client : Confidential Duration : 6 (months) Location : Confidential, Austin TX 78701 Job Description : This could be a contract-to-Full time position. Work Location: Austin, Texas Position Functions or Responsibilities: • Design and Build automated data ingestion pipelines utilizing Hadoop components like, Kite, AVRO, Sqoop, Falcon, Oozzie, and Custom UDF • Design and build an automated data delivery frameworks to provide data to downstream systems and users • Design and build post-load processing pipelines(via MapReduce, Pig Scala, Etc.) to support end-user reporting and visualization • Design and build data access into secondary and trinary storage technologies like S3 and Glacier • Design and build data tagging and classifier models to actively monitor PII security data which is coming into the system • Design and build an automated analytics / supervised machine learning pipelines utilizing Mahout, Jubatus and R • Design and implement Big Data Dev/Ops frameworks utilizing Jenkins. Develop testing stories to support ingestion and deliver pipelines • Design and build integration between Hadoop ecosystem components and non-Hadoop components such as elasticsearch and Solr • Design and build Geo-spatial processing pipeline for vector, raster, LiDAR type files utilizing GPU co-processing via GPU clusters • Design and build Batch Control Framework to manage all aspects of processing mentioned above Experience: • Minimum of 3 years work experience with Data Warehousing • Minimum of 1 year work experience with Hadoop • Deep understanding of Data Warehousing concepts and technologies • Excellent understanding of Big Data Analytics platforms • Experience working on successful Hadoop projects which leverage Hadoop components and non-hadoop components such as, HDFS, Sqoop1/2, Kite, AVRO, HIVE2, org.apache.hadoop.mapreduce*, AWS API, Presto, DataNuculus,, HBASE, Spark, SOLR, Elasticsearch, Flume, Logstash, and Data Frames • Experience with Hadoop cluster administration and maintenance • Hadoop Administrator and Developer certification's • Experience of analytics, reporting tools (Microstrategy, Tableau etc), NoSQL data stores, data modeling, analytical tools, libraries Additional Skills: Strong experience with, Java 7/8, J2EE, Struts, Scala, Python, Ruby Strong traditional data, including the full DW lifecycle, ODS ,DW, MART, OLAP – MDM, Governance. Requirements Minimum Skills Requirement in years Years Skills/Experience Yes Minimum of 3 years work experience with Data Warehousing Yes Minimum of 1 year work experience with Hadoop Yes Deep understanding of Data Warehousing concepts and technologies Yes Excellent understanding of Big Data Analytics platforms Yes Experience working on successful Hadoop projects which leverage Hadoop components and non-hadoop components such as, HDFS, Sqoop1/2, Kite, AVRO, HIVE2, org.apache.hadoop.mapreduce*, AWS API, Presto, DataNuculus,, HBASE, Spark, SOLR, Elasticsearch, Flume, Logstash, and Data Frames Yes Experience with Hadoop cluster administration and maintenance Yes Hadoop Administrator and Developer certification's Yes Experience of analytics, reporting tools (Microstrategy, Tableau etc), NoSQL data stores, data modeling, analytical tools, libraries Preferred skill requirements in years Years Skills/Experience Strong experience with, Java 7/8, J2EE, Struts, Scala, Python, Ruby Strong traditional data, including the full DW lifecycle, ODS ,DW, MART, OLAP – MDM, Governance. Thanks, Arjun Shah [email protected] Savvy Technology Solutions LLC -- You received this message because you are subscribed to the Google Groups "US_IT.Groups" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/us_itgroups. For more options, visit https://groups.google.com/d/optout.
