We are seeking a skilled Data Engineer to design, develop, and maintain robust data solutions for data generation, collection, and processing. This role involves creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems.

The position requires individuals who can work independently and become subject matter experts. Active participation in team discussions and contributions to problem-solving are essential. Collaboration with cross-functional teams to understand data needs and deliver scalable solutions will be a key aspect of this role.

Key responsibilities include designing and optimizing data pipelines for large-scale data processing, alongside strong knowledge of data modeling and schema design in NoSQL databases.

Responsibilities also encompass familiarity with data integration techniques and ETL process implementation, the ability to work with distributed data systems to ensure data consistency, and understanding performance tuning and query optimization, especially within MongoDB environments. Effective monitoring and troubleshooting of data pipeline issues are crucial for maintaining system reliability.

A minimum of 3 years of experience is required, with a strong proficiency in MongoDB being essential. The candidate must possess a solid understanding of data modeling and schema design, particularly within NoSQL databases.

Familiarity with data integration techniques and ETL process implementation is necessary. The role also demands the ability to work effectively with distributed data systems and ensure data consistency. Experience in performance tuning and query optimization, specifically in MongoDB, is highly valued. A 15-year full-time education is a prerequisite for this position.