6-12 years of overall IT experience. Strong hands-on experience with TigerGraph Database. Strong SQL expertise with a minimum of 1.5 years of hands-on experience. Experience in developing and optimizing graph database solutions. Proficiency in Python programming. Strong experience in Oracle PL/SQL development. Experience with database performance tuning and optimization. Good understanding of data modeling and database design principles.
Design, develop, and maintain applications and solutions using TigerGraph Database. Create, optimize, and troubleshoot complex SQL queries for high-performance data processing. Develop and maintain graph schemas, GSQL queries, and graph analytics solutions. Work closely with data engineers, architects, and business stakeholders to understand requirements and deliver scalable solutions. Develop automation scripts and data processing solutions using Python. Design, develop, and optimize Oracle PL/SQL procedures, functions, packages, and triggers. Perform database performance tuning, query optimization, and troubleshooting. Ensure data quality, integrity, and security across platforms. Participate in code reviews, testing, deployment, and production support activities.
Experience with graph analytics and data engineering solutions. Knowledge of ETL processes and large-scale data platforms. Exposure to cloud platforms such as AWS, Azure, or GCP. Familiarity with Agile/Scrum methodologies.
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