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Big Data Developer Location: Westerville, OH

Big Data Developer
Location: Westerville, OH
Duration: Long Term
Required Skills:
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
Thanks

vandana@levanture.com

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