| Description |
Title: Sr. Hadoop Developer (LOCALS PREFERRED-F2F MUST)
Duration: Long term (6 months)
Location: Washington, DC
Term: Contract
Experience required: Overall 10 Years and 4-5 years of experience working in Hadoop ((Java/Python, Spark, EcoSystem, Hive, ozie, sqoop, flume, spark or python) environments
Visa: US Citizens & Green Card Holders only. (No H1B)
Must be able to obtain Public Trust Clearance
Description:
- Accept tasking and update JIRA with the progress of assigned tasks
- Write scripts to move data from various systems and various file types into relational database systems (i.e. Oracle, Netezza, Hadoop)
- Advise best of breed approaches to database instances in Netezza, Oracle and Hadoop using depth of knowledge of database strategies across platforms
- Experience collaborating with the team to design and propose architectural designs and Models (logical and physical)
- Write scripts to parse data from Source systems into Hadoop
- Expected to be tool agnostic and able to customize tools as needed to support customer requirements
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| Required Experience & Skills |
Required Skills:
- Must have 10 years of experience functioning as a Developer
- Must have 4-5 years of experience working in Hadoop (Java/Python, Spark, EcoSystem, Hive, ozie, sqoop, flume, spark or python) environments
- Senior Level developer experience with JAVA on Hadoop
- MPP database experience e.g. Redshift and Netezza
- Demonstrated Senior level Hadoop development skills in Hadoop 2
- Demonstrated knowledge of using various file types in Hadoop (avro, orc, parquet)
- Possess an in-depth knowledge of data retrieval and loading processes
- Excellent communication skills with other members of the team
- Excellent communication skills with customers
- Experience working with Big Insights is preferred
- Verifiable experience/familiarity with one or more widely-used Hadoop distributions (InfoSphere Biginsights is a plus)
- Understanding and familiarity with how HDFS works
- Understanding and familiarity with how MapReduce works
- Extensive experience with widely-used Hadoop tools, such as Apache Hive, Pig and Impala
- Verifiable experience with Apache Spark is desired
- Demonstrated experience with Cloud-based Hadoop and Data Warehouse
- Technologies, such as Amazon EMR, Redshift
- Experience with Hadoop data ingestion, data processing and data modelling process
- Real-life/hands- on experience with designing and delivering Hadoop-based big data platform/solution is highly desirable
** Interested candidates please call Susan @ 703-834-5565 or email: jobs@masterinformatix.com **
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