Data Analyst with Graph Database/Remote

Data Analyst with Graph Database/Remote

Hello Partners, Greetings from VBeyond Corporation! VBeyond has been consistently recognized by renowned clients for being their trusted staffing partners for almost one and half decades. I am sorry if am bothering you on your busy schedule, we are looking for a Data Analyst with Graph Database at Remote/ Austin, TX or Fort Mill, SC (Remote till Covid) - Long term and not sure if you are looking for new project.   If you do then please share your updated resume with contact information or kindly help me with a suitable reference that would be a great help. Title: Data Analyst with Graph Database Location: Remote Job Description:   Skills: Data Analyst with Graph Database • Operate in Agile development and implement automated process to improve graph database system reliability • Strong ability to deliver results and provide good customer experience Must have skills: • SPARQL graph database knowledge and proven overall experience of minimum of 6 years in the area of graph databases (other than SPARQL is also fine) • Strong database background in building data applications and performing data analysis • Strong SQL skills Agile-Scrum experience • Java • Git Hub • Build tools (Maven, Gradle, PyBuilder, npm) • Write automated integration scripts to collect meta data to persist to the Graph DB structure Nice to have skills: • Python • AWS Glu, EMR, S3, Redshift • REST API • If someone has experience with data world that would be good.   Thanks & Regards,       Komal Verma Recruiter | VBeyond Corporation (908) 589-7348 komalv@vbeyond.com   Amwell Commons,, 390 Amwell Road, Hillsborough, New Jersey, USA – 088 44 www.vbeyond.com   The content of this email is confidential and intended for the recipient specified in message only. It is strictly forbidden to share any part of this message with any third party, without a written consent of the sender. If you received this message by mistake, please reply to this message and follow with its deletion, so that we can ensure such a mistake does not occur in the future.

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