Hadoop or AWS Javascript, Remote option

Mapjects.com; San Francisco (CA); Remote; USD 120.000 - 160.000; Vollzeit

Zusammenfassung

SmartRecruiters, Inc. is seeking a senior software engineer to lead Hadoop-based data processing initiatives in the DC/VA region. You will leverage Java and Hadoop to build scalable map/reduce jobs and contribute to the broader data platform.

The role emphasizes designing, implementing, and extending the Hadoop ecosystem with Hive/HBase, while collaborating with Site-Operations on cluster upgrades. A remote option may be available after an initial period.

Qualifikationen

• Experience designing and implementing Hadoop-based solutions.
• Experience with HDFS/MapReduce/Hive/HBase is preferred.

Aufgaben

• Design and implement map reduce jobs to support distributed processing using Java, Hive and HBase.
• Build libraries, user defined functions, and frameworks around Hadoop.
• Research, evaluate and utilize new technologies/tools around Hadoop ecosystem such as MapReduce, HDFS, Hive, HBase, Flume, Mapjects Engine etc.
• Develop user defined functions to provide custom HBase/Hive capabilities.
• Work with Site-Operations team on upgrades of the cluster.
• Participate in the installation, configuration and administration of single-node and multi-node Hadoop HDFS cluster.

Kenntnisse

Hadoop

MapReduce

Java

HDFS

Hive

HBase

Jobbeschreibung

For our federal client, we are seeking Hadoop (or AWS)developer in the DC-Metro Area

• Compensation is verycompetitive, and commensurate with experience, loc VA/DC, remote option after 6 months
• if Corp 2 Corp, 1099, or W2 (please email your expectations, and availability to start)

1.234.200.MAP0

Job Description

Due to the amount of data that the applications need to process, the Mapjects.com clients engineering team has adopted big data technologies.

We are seeking a senior software engineer, with commercial Hadoop development experience, to work on the team that is building up the big data practice.

Job Description:

• Design and implement map reduce jobs to support distributed processing using java, hive and hbase
• Build libraries, user defined functions, and frameworks around Hadoop
• Research, evaluate and utilize new technologies/tools/frameworks around hadoop eco system such as MapReduce, HDFS, Hive, HBase, Flume, Mapjects Engine etc.
• Develop user defined functions to provide custom hbase/hive capabilities
• Work with Site-Operations team on upgrades of the cluster
• Participating in the installation, configuration and administration of a single-node and multi-node Hadoop HDFS cluster

Required Skills:

• Experience with Hadoop, including Hadoop based projects completed successfully.
• Experience with HDFS, MapReduce, HBase, Hive is preferred.

Qualifications

Visa:US Citizens and all (GC, H1) other parties authorized to work in the US are encouraged to apply.