Job Description :
Position: Hadoop Developer/Admin
Location: Chicago, IL. San Jose, CA. Forth Worth, TX. New York City, NY. Sunnyvale, CA. Raleigh, NC. New Jersey City, NJ. Dallas, TX. Cincinnati, OH. Portland, OR. Seattle, WA. Maryland City, MD
1. Experience building and optimizing scalable ‘big data’ data pipelines, architectures and data sets. Should have hands on experience in writing applications in Spark/MapReduce.
2. Understanding of Hadoop architecture and core concepts of Hadoop Distributed File System as well as skillset in manipulating, processing, extracting value from data stored on HDFS.
3. Extensive experience in extracting data to-fro from relational database systems using Sqoop and incorporating performance optimized incremental load strategies.
4. Should be well versed with Unix/Linux environment and should have hands-on experience in writing shell scripts using UNIX.
5. Experience in writing user defined functions using Pig Latin to perform various data transformation functions.
6. Build hadoop processes supporting data transformation, metadata, other dependencies and workload management.
7. Experience in real time analytics applications, should be able to build and deploy pipelines to collect real time streaming data using Kafka.
8. Advanced knowledge and experience working with Hive and other relational databases. Possess skills to transform the incoming data using Hive Query Language according to business needs. Skillset of understanding various Formats of the tables.
9. Strong analytic skills related to working with unstructured datasets as well as techniques to extract it from disparate data sources and storing it into HDFS or on Cloud.
10. Strong knowledge and experience building applications associated with NoSql databases like HBase, Cassandra. Well versed with storing and fetching data out of these NoSql databases.
Sriharsha Sirapa
D : 6 0 9 - 2 9 7 - 0 1 8 0
Email: sriharsha.sirapa at