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Principal Data Engineer – Map Reduce Hadoop

ienced Principal Data Engineer is required having Strong Understanding of core architectural principles such as modularity, restorability, parallelization and table driven business rules   Job Requirements & Experience: Experience with SQL Server and Data Warehousing is a plus Designed and implemented fast and efficient data processing using 'big data' processing techniques and tools (e.g. MapReduce) Implemented the latest technologies like Hadoop, NoSQL, Vertica, etc.; used scripting skills like Pig and Hive; and had virtualization experience across platforms like AWS And a good understanding of information delivery architecture including creation of abstraction layers, SQL query paths and optimization, report level calculations and end user reporting architecture 2+ years of data-specific engineering experience in addition to the 3+ years of general engineering experience Job Responsibilities: Provide guidance on systems design, architecture and analytics infrastructure to support big data technologies and distributed architectures. Analyze business requirements for database design, and implement changes to databases as necessary, including optimizing database design for machine learning . Partner with our Data Science team on metrics and insight development Educational Qualifications: A Computer Science or related degree preferred Full Time Permanent Position for a large US Company. BI-263 Principal Data Engineer – Map Reduce Hadoop SQL Data Warehousing Location: Job is in NY Domain:  Engineering Experience: 2 Years "Make sure the Skill Set, experience and justification for the job must be well demonstrated in your updated resume, Otherwise client will assume that you are not qualified for the job, even if you are."

Alamogordo, New Mexico