As a Data Engineer, you will design, develop, and maintain robust data solutions for data generation, collection, and processing. This role is crucial in creating efficient data pipelines, ensuring high data quality, and implementing effective ETL processes for seamless data migration and deployment across various systems. You will be instrumental in building reliable data frameworks that support informed decision-making and drive operational efficiency.

- Develop and maintain scalable data pipelines and ETL processes. - Ensure data integrity and quality across all data solutions. - Design and implement data generation, collection, and processing mechanisms. - Collaborate with cross-functional teams to align data strategy with business objectives. - Continuously evaluate and improve data governance policies and security measures. - Monitor emerging trends and technologies to recommend enhancements to data architecture. - Provide solutions to complex work-related problems and become a subject matter expert.

- Minimum 3 years of experience in Graph Databases is mandatory. - Proficiency in Graph Databases and GraphQL (Query Language) is required. - Experience in designing and managing scalable graph database solutions. - Strong understanding of data modeling and schema design for graph structures. - Ability to optimize query performance and ensure data integrity. - Familiarity with data integration techniques and tools for graph data. - Knowledge of security best practices for data storage and access control. - A 15-year full-time education is required.