Join our team as a Data Engineer and play a crucial role in shaping our data landscape. You will be responsible for designing, developing, and maintaining sophisticated data solutions.

This involves creating robust data pipelines, ensuring high data quality, and implementing efficient ETL processes. Your work will be key in migrating and deploying data seamlessly across various systems, contributing directly to our operational efficiency and data infrastructure advancements.

- Drive the design, development, and maintenance of data generation, collection, and processing solutions. - Architect and build efficient data pipelines, ensuring data integrity and quality throughout the lifecycle. - Implement comprehensive ETL processes for data migration and deployment across diverse systems. - Proactively monitor and troubleshoot data workflows to guarantee optimal performance and reliability. - Collaborate with cross-functional teams, translating data requirements into scalable and effective solutions. - Actively participate in team discussions and contribute to problem-solving initiatives.

- Possess a minimum of 3 years of dedicated experience with Graph Databases. - Demonstrate a strong understanding of data modeling and schema design specifically for graph database technologies. - Proven experience in designing and optimizing data pipelines for large-scale data processing environments. - Familiarity with data integration techniques and tools is essential for effective ETL operations. - Ability to analyze and enhance data quality and consistency across multiple systems. - Proficiency in query languages and performance tuning within graph database contexts. - Completion of 15 years of full-time education is a mandatory requirement.