Senior Software Engineer ̵...

Senior Software Engineer – Big Data (Hadoop)

San Francisco, CA 94107 (South Of Market area) 2016-10-18 - –

splunk Splunk

Software Engineer – Big Data (Hadoop)

Responsibilities:
Build high-performance and reliable data transport mechanisms

Implement and optimize API-level integrations with Hadoop and Hadoop technologies, or other relevant technologies,

for seamless/effortless/performant orchestration of data flow and data processing.

Leverage a variety of open source technologies to achieve an optimally flexible architecture, and provide guidance to ensure customer success on best-of-breed deployments

Define and publish best practices

Requirements:
Enterprise Java and C/C++ knowledge, and track record of delivering innovative solutions to tough problems

Thrives on big data challenges of large volumes, at high velocity, with extreme variability

Excellent understanding of issues regarding clustering, and distributed computing in enterprise environments

Experience with a variety of traditional data technologies including RDBMS, ETL, Data Warehousing, BI, OLAP, OLTP

Experience with new generation technologies, such as Hadoop, HBase, Hive, Kafka, Storm, Cassandra, MongoDB, etc.

Experience with a range of scripting technologies, including python, bash, etc

Experience with deployment, operations, and management issues for complex distributed data systems

Strong communication skills, both verbal and written

Aptitude and willingness to learn new skills

Experience with Agile development

Dedication to testing as an essential part of software engineering practice

Passionate about open source, and building communities

Ability to implement elegant solutions to complex problems

Education:
Bachelors in Computer Science or equivalent experience, Masters a plus.

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