Job Description :
Job Title: Data Engineer
Location: Charlotte NC
Duration: 12Months
Interview Mode: Phone and Video
Must Have:
? Utility IT Experience
? Domain Knowledge
? SQL
? NoSQL
? Mongo DB
? Big Data
? Scalability
? ETL Pipelines
? 8-15 years of experience

Job Description:
? Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal datadelivery architecture throughout ongoing projects/operations.
? Design, build, and manage analytics infrastructurethat can be utilized by data analysts, data scientists, and non-technical dataconsumers, which enables functions of the big data platform for Analytics.
? Develop, construct, test, and maintain architectures,such as databases and large-scale processing systems that help analyze andprocess data in the way the Analytics organization requires.
? Develop highly scalable data management interfaces, aswell as software components by employing programming languages and tools.
? Work closely with a team of Data Science staff to takeexisting or new models and convert them into scalable analytical solutions.
? Design, document, build, test and deploy datapipelines that assemble large complex datasets from various sources andintegrate them into a unified view.
? Identify, design, and implement operationalimprovements: automating manual processes, data quality checks, error handlingand recovery, re-designing infrastructure as needed.
? Create data models that will allow analytics andbusiness teams to derive insights about customer behaviors
? Build new data pipelines, identify existing data gapsand provide automated solutions to deliver analytical capabilities and enricheddata to applications.
? Responsible for obtaining data from the System ofRecord and establishing batch or real-time data feed to provide analysis in anautomated fashion.
? Develop techniques supporting trending and analyticdecision making processes
? Apply technologies for responsive front-end experience
? Ensure systems meet business requirements and industrypractices
? Research opportunities for data acquisition and newuses for existing data
? Develop data set processes for data modeling, miningand production
? Integrate data management technologies and softwareengineering tools into existing structures
? Employ a variety of languages and tools (e.g.scripting languages)
Degree in Computer Science, Engineering, orrelated fields.