Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meets function / nonfunctional business requirements
Keep data separated and secure across national boundaries though multiple datacenters
Work with stakeholders including product, data, and design teams to assist with datarelated technical issues and support their data infrastructure needs
Qualifications:
Bachelors degree in Computer Science, Statistics, or another quantitative field
3 years of experience in a Data Engineer role, with successful history of manipulating, processing, and extracting value from large disconnected datasets
Advanced working SQL knowledge and working familiarity with a variety of popular relational SQL and NoSQL databases
Hands-on experience of data pipeline and workflow management tools like Nifi, Airflow, Luigi, and Kettle etc.
Familiarity with Linux, Git and Python/Shell script is mandatory
Working knowledge of message queuing and stream processing
Proactive, self-motivated, and highly organized
Keyskills: Computer science GIT NoSQL Linux HP data protector Workflow management Shell scripting SQL Python Recruitment
A wholly owned subsidiary of SYNNEX Corporation (NYSE: SNX), Concentrix is a leader in high-value global business services. It partners with its clients to deliver end-to-end customer engagement services, technology innovations, analytics, process optimization, and business improvements. The global ...