Hi,

I have an urgent requirement mentioned below. If you find yourself
comfortable with the requirement please reply back with your updated resume
and I will get back to you or I would really appreciate if you can give me
a call back at my contact number.



*Position: Senior **Hadoop developer*

*Location: **Danbury, CT*

 *Duration: 6+ Month*





*Job Description:*

We are looking for a Big Data Engineer that will work on the collecting,
storing, processing, and analyzing of huge sets of data in MapR Hadoop
ecosystem. This role is part of wholesale lending Data COE team and is a
key technical resource in in building and operationalizing Hadoop based
data lake and different analytics layers for data science and reporting
within Hadoop.



 Provide technical support, advice, and consultation with the issues
relating to supported applications.

Maintain and manage the continuous integration and continuous deployment
tools and processes

Create and maintain process documentation for programs.

Create test data, conduct interfaces and unit tests.

Assures quality, security and compliance for supported systems and
applications.

Ability to evaluate, conduct POCs and build solutions on new technologies



*Required Qualifications*

At least 5+ years of experience in ingesting data to Hadoop from variety of
sources like ERP, CRM and transactional systems

At least 3+ years of experience in building Hadoop based ETL workflow to
transform and aggregate data

At least 3+ years of experience in building a multi-tenant bigdata platform
with data security and access control

Experience in monitoring performance and advising any necessary
infrastructure changes

*Preferred Qualifications:*

Proficient understanding of distributed computing principles

Proficiency with Hadoop v2, MapReduce, HDFS

5+ years of experience in building and operationalizing Hadoop based data
lake

3+ years of experience building ETL workflow to transform, aggregate and
build business metrics using Apache Spark,

5+ years in Big Data querying tools, such as Pig, Hive, and Drill

2+ years  of experience with building stream-processing systems, using
solutions such as Storm or Spark-Streaming  or MapR stream

Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O

Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

Knowledge of various ETL tools in Hadoop like Talend

Experience with various messaging systems, such as Kafka or RabbitMQ

Experience in code/build/deployment tools like git, svn, maven, sbt, jenkins

Experience with MapR/Hortonworks /Cloudera, MapR preferred





Project Information:



Technologies and Tools:

Hadoop

Apache Spark

MapR

Development Methodology:



Team Dynamics:



Skills Needed:

3 Hadoop:

Experience with Data Ingestion Experience Hadoop

Experience with Spark Hadoop (ETL and Data Ingestion)

Strong Hadoop Coding Experience using Spark and or Java (Data Ingestion and
Transformation/Manipulation)

Spark with Scala Programming Preferred Java Experience will be ok

Experience Hive, Drill, HDFS, Apache Parquet, Apache Avro

One of the candidates should have some knowledge of Machine
Learning/Predictive Analytics

Experience with Any ETL tool within Big Data space is preferred.









*Regards,*



*Praveen Tiwari*

Senior Technical Recruiter

*Sage Group*

*W:*+ 732-767-0010 x  113 |Direct: 732-851-1637 | *F:* 732-749-8969 | *Email:
*ptiw...@sagetl.com

*Gtalk/yahoo/Skype: praveentj101*

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