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Sonoma Consulting Inc.

Sr. Big Data/Hadoop Developer

Reposted 2 Months Ago
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In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, USA
Senior level
Design, develop, debug and tune Hadoop-based ETL using HDFS, Pig, Hive, HBase, Sqoop and Java. Provide technical oversight to the Hadoop team, write/modify shell or Python scripts, liaise with application teams, perform performance tuning and troubleshooting, and provide on-call weekend support.
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Company Description

Halo Group is a premier provider of IT talent. We place technology experts within
the teams of the world’s leading companies to help them build innovative
businesses that keep them one step closer to their customers and one step
ahead of the competition. We offer a meaningful work environment for
employees, attractive and interesting engagements for consultants, and cutting-edge
digital innovation for our customers.
We delight in helping our customers execute their digital vision. Big projects or
small, Halo Group knows that by combining the highest quality talent with our
unwavering support, we will become an invaluable extension of the team. Halo
Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all
areas of product/project governance, UX/UI, multi-platform applications, quality
assurance/testing, cloud computing, and data analytics.
Since its inception, Halo Group has been recognized for numerous awards, including: 
- INC 5000
- Future 50
- 101 Best and Brightest
- Michigan 50 Companies to Watch
- Goldline Research - “Most Dependable Companies”
- Ernst & Young - “Entrepreneur of the Year” Finalist

Job Description

Mandatory Skills:

• Hands on experience in BigData space (Hadoop Stack like HDFS, Pig, Hive, HBase, Sqoop etc)

• Experience with Java programming

• Provide oversight and guidance to Hadoop team

• Ability to debug & write / modify Pig. Hive, Sqoop codes

• Ability to debug & write / modify Shell script/Python

• Very good understanding of Big Data eco-system

• Candidate should also have good knowledge of Big Data architecture patterns, design patterns, estimation techniques, performance tuning and trouble shooting

• Willing to work on-call support over weekends

• Liase with multiple application teams & co-ordinate for issue resolution

• Good analytical & interaction skills

Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 7 years of experience with IT

Additional Information

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

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