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Graph Database Consultant
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Graph Database Consultant

Venniza Glades's profile picture
Posted by Venniza Glades
3 - 7 yrs
₹6L - ₹16L / yr
Bengaluru (Bangalore)
Skills
Neo4J
Graph Databases
skill iconAmazon Web Services (AWS)
Graph theory
Gremlin

Role and Responsibilities

 

The candidate for the role will be responsible for enabling single view for the data from multiple sources. 

  • Work on creating data pipelines to graph database from data lake
  • Design graph database
  • Write Graph Database queries for front end team to use for visualization
  • Enable machine learning algorithms on graph databases
  • Guide and enable junior team members

Qualifications and Education Requirements

 

B.Tech with 2-7 years of experience

 

Preferred Skills

 

Must Have

Hands-on exposure to Graph Databases like Neo4J, Janus etc..

 

  1. Hands-on exposure to programming and scripting language like Python and PySpark
  2. Knowledge of working on cloud platforms like GCP, AWS etc.
  3. Knowledge of Graph Query languages like CQL, Gremlin etc.
  4. Knowledge and experience of Machine Learning 

Good to Have

 

  • Knowledge of working on Hadoop environment
  • Knowledge of graph algorithms
  • Ability to work on tight deadlines
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Bridgei2i Analytics Solutions

Founded :
2011
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

BRIDGEi2i is a trusted partner to enterprises for driving digital transformation outcomes. We bring together Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise to deliver contextual AI-powered analytics solutions for customer experience and operational effectiveness. Our AI accelerators simplify and democratize consumption of insights and recommend the right business actions, enabling faster and more accurate decision making across the enterprise.
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Pavan Kumar
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Venniza Glades
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Dhanya Mathew
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Suhas Sharma
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Ruby Singh
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Snigdha Ahmed
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Vinothini B

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Shubham Vishwakarma

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