This role focuses on architecting and implementing robust data solutions. You will be instrumental in developing systems for data generation, collection, and processing, ensuring seamless data flow and integrity across all platforms. The position involves creating and maintaining efficient data pipelines, implementing ETL processes, and optimizing data architecture to meet evolving business requirements.

Key responsibilities include designing and developing scalable data solutions, creating and managing data pipelines, and ensuring data quality through rigorous testing. You will implement ETL processes for data migration, troubleshoot pipeline issues, and document data workflows. This role also involves contributing to team discussions and problem-solving, aiming to become a subject matter expert and assisting in the growth of junior team members.

A minimum of 3 years of experience in data engineering, with a strong focus on Machine Learning (ML), is essential. Candidates should possess expertise in designing and implementing data pipelines and ETL processes, along with a solid understanding of data storage solutions and database management. Familiarity with data quality assurance techniques and the ability to optimize workflows for large datasets are also crucial. A 15-year full-time education is a prerequisite for this position.