As a Data Engineer, you will be instrumental in creating and managing robust data solutions that support data generation, collection, and processing.

Your responsibilities will include developing efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment.

This role offers the opportunity to collaborate with diverse teams, aligning data strategies and enhancing system performance for optimal outcomes.

Independently perform duties and become a Subject Matter Expert. Actively contribute to team discussions and problem-solving. Develop scalable solutions by collaborating with cross-functional teams. Monitor and troubleshoot data pipelines to ensure continuous data availability. Document data processes and workflows for knowledge sharing. Assist junior team members with project requirements and technical challenges.

Possess a strong command of MongoDB and experience in database schema design and optimization for performance and scalability. Demonstrate in-depth knowledge of data modeling and query optimization. Familiarity with ETL tools and processes is essential. Ability to manage large datasets, ensuring data quality and consistency. Understanding of distributed data systems and cloud-based storage solutions is required. A minimum of 3 years of experience with MongoDB is mandatory.