Spearhead the design, development, and ongoing maintenance of sophisticated data solutions for data generation, collection, and processing. This role involves crafting efficient data pipelines, rigorously ensuring data quality, and implementing robust ETL processes for seamless data migration and deployment across diverse systems.

Contribute to an environment of operational excellence by optimizing data workflows and facilitating smooth data integration. This position is key to maintaining the integrity and efficiency of our data infrastructure.

Independently drive projects to completion and establish subject matter expertise. Actively engage in team discussions and contribute valuable insights to problem-solving.

Collaborate with cross-functional teams to translate data requirements into scalable and effective data solutions. Monitor and troubleshoot data pipelines to guarantee consistent and reliable data flow. Document all data processes and workflows to promote knowledge sharing and maintain operational clarity. Provide mentorship and support to junior team members, fostering their growth and development.

A strong foundation in Graph Databases is essential. Proven experience in designing and optimizing data pipelines for large-scale data processing is required.

Demonstrate in-depth knowledge of data modeling and schema design specifically within graph database technologies. Familiarity with various data integration techniques and ETL processes is expected. Ability to manage diverse data storage and retrieval systems for efficient data management is crucial. A keen understanding of performance tuning and query optimization within graph database environments is a significant advantage. A minimum of 3 years of experience with Graph Databases is mandatory, alongside 15 years of full-time education.