Join our team as a Data Engineer to design, build, and maintain robust data solutions. You will be instrumental in developing systems for data generation, collection, and processing, ensuring high data quality and implementing efficient ETL processes for seamless data migration and deployment across systems. This role is crucial for enabling effective data utilization and accessibility.

This is an opportunity to become a subject matter expert and contribute to impactful data initiatives. You will play a key role in tackling complex data challenges and driving innovation within the data landscape.

As a Data Engineer, your responsibilities will include independently performing tasks and becoming a subject matter expert. You are expected to actively participate in team discussions and contribute to problem-solving. Collaborating with cross-functional teams to understand data needs and deliver scalable solutions is vital. You will monitor and optimize data workflows for enhanced performance and reliability, and document data processes while maintaining clear communication with stakeholders.

Support junior team members by sharing knowledge and assisting with technical challenges. You will work with large datasets, optimize data processing workflows, and gain familiarity with cloud-based data platforms. Your contributions will ensure the smooth operation and continuous improvement of our data infrastructure.

A minimum of 3 years of experience in Data Engineering is essential for this role. Proficiency in designing and implementing data pipelines and ETL processes is a must. Strong knowledge of data storage solutions and database management is required, along with familiarity with data quality assurance and validation techniques. You should possess the ability to work with large datasets and optimize data processing workflows. An understanding of cloud-based data platforms and integration methods is also beneficial. A 15-year full-time education is a prerequisite for this position.