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Senior Data Engineer Hadoop experience a must

Company Name:
TAD PGS, Inc.
TAD PGS, INC. is currently seeking a Senior Data Engineer for one of our clients in El Segundo, CA.

Major purpose:

Our client is looking for an experienced high caliber developer excited to tackle Big Data problems and transformations of structures/semi-structured and unstructured data into actionable intelligence. Chosen candidate will research, evaluate and utilize new technologies/tools/frameworks around hadoop eco system such as MapReduce, HDFS, Hive, HBase, etc.

Responsibilities:
Solutions developed by the team will use Java, c#, python, XML, json, HTTP, SOAP, Hadoop, Hive, Pig and other web technologies.
Design and implement applications to support distributed data processing using java, python, Hive/Impala and Hbase.
Build libraries, user defined functions, and frameworks around Hadoop and equivalent technologies.
Develop user defined functions to provide custom hbase/hive capabilities.
Code scripts to extract data/code from various internal/external sources.
Participating in the installation, configuration and administration of a single-node and multi-node Hadoop HDFS cluster.
Being part of the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation.
Responsible for driving and shipping high quality code as part of a Scrum team, on-time.
Responsible for large portions of the systems architecture, scalability, reliability, and performance.
Responsible for real-time operational support of the team's functional areas.
Quantitatively analyze data errors/issues/problems, determine cause and initiate corrective action when necessary.
Required Skills:
Strong working knowledge of Java programming language and SQL (several years of experience or equivalent academic studies required).
Strong working knowledge of Hadoop.
Working knowledge of application deployment environment for both Windows and Linux operating systems.
Working knowledge of Data driven products and Data Engineering.
Large-scale dataset analysis and system modeling.
Working knowledge of SQL Server 2012, SQL, DTS, SSIS, reporting solutions or Oracle or equivalent is preferred.
Desired Skills:
Thorough understanding of Relational and noSQL database logical and physical design concepts.
5 or more years of hands on experience working with Business Intelligence solutions in an analytical business environment.
Excellent understanding on Data Warehousing concepts and Multi-Dimensional Data models is required.
2+ years' experience working on Business Intelligence tools with experience writing and tuning SQL queries in an online or offline environment.
2+ years' experience building OLAP/MOLAP Data Cubes is preferred.
Receiving Inspection, Supplier Quality and/or Configuration Management experiences a plus.

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