Hadoop Developer
Only GC CTZ OR EAD GC NEEDED
Phone hire
End client HCA
*Big Data Developer* with our health care client in Nashville, TN. This
can be a direct hire to the client, or if desired, a contract to permanent
position.
The role requires working closely with others, frequently in a matrixed
environment, and with little supervision. As a consulting-level position
the role requires ‘self-starters’ who are proficient in problem solving and
capable of bringing clarity to complex situations. It requires
contributing to strategic technical direction and system architecture
approaches for individual projects and platform migrations. The culture of
the organization places an emphasis on teamwork, so social and
interpersonal skills are equally important as technical capability. Due to
the emerging and fast-evolving nature of Big Data technology and practice,
the position requires that one stay well-informed of technological
advancements and be proficient at putting new innovations into effective
practice.
*Responsibilities*
This role will provide leadership and deep technical expertise in all
aspects of solution design and application development for specific
business environments. Focus on setting technical direction on groups of
applications and similar technologies as well as taking responsibility for
technically robust solutions encompassing all business, architecture, and
technology constraints.
- Responsible for building and supporting a *Hadoop-based ecosystem*
designed for enterprise-wide analysis of structured, semi-structured, and
unstructured data.
- Manage and optimize *Hadoop/Spark clusters*, which may include many
large *HBase* instances
- Support regular requests to move data from one cluster to another
- Manage production support teams to make sure service levels are
maintained and any interruption is resolved in a timely fashion
- Bring new data sources into HDFS, transform and load to databases.
Work collaboratively with Data Scientists and business and IT leaders
throughout the company to understand Big Data needs and use cases.
*Required*
A successful candidate will have:
- Bachelor’s degree in Computer Science, or related discipline; with at
least 7 years of equivalent work experience
- *Data modeling experience using Big Data Technologies.*
- Strong understanding of best practices and standards for Hadoop
application design and implementation.
- *2 Years of hands-on experience with Cloudera Distributed Hadoop (CDH)*
and experience with many of the following components:
- Hadoop, MapReduce, Spark, Impala, Hive, Solr, YARN
- HBase or Cassandra
- Kafka, Flume, Storm, Zookeeper
- Java, Python, or Scala
- SQL, JSON, XML
- RegEx
- Sqoop
- Experience with Unstructured Data
- Experience in developing MapReduce programs using Apache Hadoop for
working with Big Data.
- Experience having deployed Big Data Technologies to Production.
- Understanding of Lambda Design Architectures and Real-Time Streaming
- Ability to multitask and to balance competing priorities.
- Requires strong practical experience in agile application development,
file systems management, and DevOps discipline and practice using
short-cycle iterations to deliver continuous business value.
- Expertise in planning, implementing, supporting, and tuning Hadoop
ecosystem environments using a variety of tools and techniques.
- Knowledge of all facets of Hadoop ecosystem development including
ideation, design, implementation, tuning, and operational support.
- Ability to define and utilize best practice techniques and to impose
order in a fast-changing environment. Must have strong problem-solving
skills.
- Strong verbal, written, and interpersonal skills, including a desire
to work within a highly-matrixed, team-oriented environment.
*Preferred*
A successful candidate may have:
- Experience in Healthcare Domain
- Experience in Patient Data
- Experience with Predictive Models
- Experience with Natural Language Processing (NLP)
- Experience with Social Media Data
*Hardware/Operating Systems:*
- Linux
- UNIX
- Distributed, highly-scalable processing environments
- Networking - basic understanding of networking with respect to
distributed server and file systems connectivity and troubleshooting of
connectivity errors
*Databases*:
- RDBMS – Teradata
- NoSQL, Hbase, Cassandra, MongoDB, In-memory, Columnar, other emerging
technologies
- Other Languages – Java, Python, Scala, R
- Build Systems – Maven, Ant
- Source Control Systems – Git, Mercurial
- Continuous Integration Systems – Jenkins or Bamboo
- Config/Orchestration – Zookeeper, Puppet, Salt, Ansible, Chef, Oozie,
Pig
- Ability to integrate tools outside of the core Hadoop ecosystem
*Certifications (a plus, but not required):*
- CCDH (Cloudera Certified Developer for Apache Hadoop)
Regards,
Parul Gupta, IT-Technical Recruiter
P: 609-632-1299, E: pgu...@sourceinfotech.com
3840 Park Avenue, Suite C-205, Edison, NJ-08820
Hangout: <http://www.inceptdatasolutions.com/> guptaparul...@gmail.com
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