*Position4: (P-0000022196): **Hadoop Data Analyst*

*Location: Bloomington, IL*

*Duration: Long-term*

*Max Rate: 55/hour on C2C (Not negotiable)*



*REQUIRED**: list of key experience areas that are of interest for a Hadoop
developer. - Data Engineering   + very experienced writing map-reduce   +
experience with the core eco-systems (Hive, Pig, Java, Map-Reduce, HDFS)
+ experience with data ingestion (Flume, Kafka)   + experience with Spark
framework   + HBase experience is a bonus   + familiarity with data formats
(Avro, Parquet)  + Predictive model development  + Machine learning
(unsupervised, supervised)  + Algorithm development   *



*QUESTIONS THEY SHOULD BE ABLE TO ANSWER: *Have you had to optimize a
mapreduce job?  What techniques did you use? Have you needed to use a
Combiner or a custom Partitioner?  Explain Compare and contrast Java
MapReduce API and the Spark framework Have you had to address the small
data problem in Hadoop?  How did you handle? What data formats do you have
experience with (Avro, Parquet?)?  Explain scenarios where different
formats were used and why When do you personally choose to use Hive versus
Pig versus Java MapReduce versus Spark? How have you orchestrated multiple
MapReduce jobs? How? Do you have experience with Solr for inverted indexing
and search? What experiences do you have with ingesting data into Hadoop?
In what scenarios, if any, does it make sense to use SQL based solutions on
Hadoop?









*Best Regards,*



*Sarath Chandra.*

*Sr. IT Recruiter                            *

 *Phone: 443.539.2341*

*Email: **[email protected]* <[email protected]>


*Pace Computer Solutions Inc. (**An Inc. 500 Company**)*

*10500 Little Patuxent Pkwy, Suite 310*

*Columbia, MD 21044. *

*www.pace-solutionsinc.com* <http://www.pace-solutionsinc.com/>

*Gtalk**: [email protected] <[email protected]>*



*****Awarded 2009 , 2010 & 2011  Best of Columbia Award by the US Commerce
Association *****



*Pace Computer Solutions, Inc. is a registered user of E-Verify*



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