Big Data Engineer

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Company: Inframatix Inc

Location: Chevy Chase, MD 20815

Description:

Company Description

InfraMatix Inc. is a Professional services and system integration company delivering IT security, identity, access management and regulatory compliance solutions leveraging 100s of years of collective experience across all major IAM vendor technologies. Focus on the strategy, design, configuration, implementation and management of its solutions for rapid success for the customers. The company seamlessly integrates software, deep professional services & expert support for all Identity Management activities, there by reduces financial, technical, and operational burden of managing Identity Management systems.

Job Description

Big Data Engineer

Start Date: ASAP

Location: Chevy Chase, MD

Duration: 12--24+ Month Contract

Mode of Interview: Phone and Skype

Job Description :
3 years of hands-on experience in the Hadoop ecosystem (HDFS, YARN, MapReduce, Oozie, AND Hive)
1 year of hands-on experience in Spark core AND Spark SQL
5 years of hands-on programming experience in either core Java OR Spark
3 years of hands-on experience in Data Warehousing AND Data Marts AND Data/Dimensional Modeling AND ETL
1 years of hands-on experience in HBase OR Cassandra OR any other NoSQL DB
Understanding of Distributed computing design patterns AND algorithms AND data structures AND security protocols

Desired Skills
Understanding of Kafka AND Spark Streaming
Experience in any one of the ETL tools such as Talend, Kettle, Informatica OR Ab Initio
Exposure to Hadoop OR NoSQL performance optimization and benchmarking using tools such as HiBench OR YCSB
Experience in performance monitoring tools such as Ganglia OR Nagios OR Splunk OR DynaTrace
Experience on continuous build and test process using tools such as Maven AND Jenkins
Certification in HortonWorks OR Cloudera preferred BUT NOT MANDATORY

Qualifications

Additional Information

All your information will be kept confidential according to EEO guidelines.

Videos To Watch
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