tiger graph

Company Description Cloud Data Vision is a technology and services company that powers innovation across Healthcare and Life Sciences, IT, and non-IT sectors. The organization delivers clinical data analytics, functional outsourcing, and holistic IT managed services, including help desk management, cloud services, information security, and IT strategy. Cloud Data Vision also provides talent solutions, connecting organizations with highly qualified professionals and streamlining recruitment to drive innovation. With a focus on cutting-edge technology and broad industry experience, the company offers a dynamic work environment, competitive compensation, and opportunities for professional growth. Cloud Data Vision is committed to client satisfaction and to building long-term, career-enhancing relationships with its team members.
Role Description The Tiger Graph role at Cloud Data Vision is a full-time, hybrid position based in Hyderabad, with flexibility for partial work from home. The individual in this role designs, implements, and optimizes graph database solutions using TigerGraph to support data-intensive applications and analytics. Daily responsibilities include modeling complex data relationships, writing and tuning queries, integrating graph solutions with existing systems, and collaborating with data engineers, data scientists, and product teams. The role involves troubleshooting performance issues, maintaining data quality and security, documenting architectures and processes, and supporting deployments into production environments. The person in this role is expected to participate in agile ceremonies, contribute to technical reviews, and continuously evaluate new graph technologies and best practices.
Qualifications

• Graph database expertise, including experience with TigerGraph (or similar graph platforms), graph data modeling, and query optimization.
• Strong data engineering skills, such as ETL/ELT development, data integration, and working with large-scale, complex datasets.
• Proficiency in relevant programming or scripting languages (for example, Python, Java, or Scala) and familiarity with APIs and microservices.
• Understanding of distributed systems, cloud platforms (such as AWS, Azure, or GCP), and modern data architectures.
• Knowledge of data security, governance, and best practices for handling sensitive and regulated data.
• Ability to collaborate with cross-functional teams, communicate technical concepts clearly, and document solutions effectively.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent practical experience).
• Experience in healthcare, life sciences, or enterprise IT environments is an advantage, along with familiarity with analytics or machine learning use cases.