Job details
Analytics & Cognitive- Tiger Graph What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s SA&MA- Analytics & Cognitive practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Work you’ll do Our Consulting team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll: Core skills and experience required.
- 3+ years of hands-on experience building production ready system using Graph Technologies (TigerGraph)
- 4+ years of overall experience with exposure in Data Engineering technologies (Databricks, SQL, Pyspark etc.)
- In-depth knowledge of TigerGraph's RESTful API, GSQL, Cypher.
- Proficiency with data modeling and database optimization techniques.
- Familiarity with Tiger Graph Administration, ensuring performance, security, and scalability.
- Ability to work in a collaborative, agile environment.
- Build and maintain TigerGraph database.
- Develop and optimize queries using GSQL.
- Collaborate with cross-functional teams to integrate TigerGraph with other systems (Azure, AWS, GCP)
- Design and implement data models for efficient graph storage and retrieval.
- Optimize database performance and scalability.
- Ensure data security and integrity within the TigerGraph database.
- Design and define roles and security for users and downstream systems.
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