HI Partners,Please Check below requirement.
Title: Big Data (Developer)

Location: Westerville, OH

Education: Bachelor's degree in Engineering - Computer Science, or Information 
Technology. Master's degree in Finance, Computer Science, or Information 
Technology a plus

 

Qualifications

 

·         9+ years of total IT experience including 4+ years of Big Data 
experience

·         Person need to be very strong in Spark Streaming and Kafka (first 
preference). Otherwise, the second preference is strong in Spark SQL (Scala or 
Python) and Hive.

·         Experience on Cloudera distribution and Cloudera Data Hub (CDH) is a 
plus

·         Proficient in Linux/Unix scripting

·         Knowledge on PeopleSoft data structures and HR related data is a plus

·         Experience in Agile methodology is a must

·         Knowledge of standard methodologies, concepts, best practices, and 
procedures within Big Data environment

·         Exposure to infrastructure as service (IAAS) providers such as: 
Google Compute Engine, Microsoft Azure or Amazon AWS is a plus

·         Self-starter and able to independently implement the solution

·         Good problem-solving techniques and communication

 

Job Description

 

·         Hands on Big Data developer role

·         Develop data pipelines using Big Data technologies that leverage 
value to the customer; understand customer use cases and workflows and 
translate them into engineering deliverables

·         Actively participate in scrum calls, story points, estimates and own 
the development piece

·         Analyze the user stories, understand the requirements and develop the 
code as per the design

·         Develop test cases, perform unit testing and integrating testing

·         Support QA Testing, UAT and production deployment

·         Develop batch and real-time data load jobs from a broad variety of 
data sources into Hadoop

·         Design ETL jobs to read data from Hadoop and pass to variety of 
consumers / downstream applications

·         Perform analysis of vast data stores and uncover insights

·         Analyze the long running queries and jobs, performance tune them by 
using query optimization techniques and Spark code optimization

 



 
 
Regards
 
Arun | Sr. Technical Recruiter
 
KLNtek
 626-414-4522
 
[email protected]
 
324 E. Foothill Blvd. Suit # 206
 
Arcadia, CA 91006 USA
 
www.KLNtek.com

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