Join our team as a Data Engineer, where you will be instrumental in designing, developing, and maintaining robust data solutions. Your primary focus will be on optimizing data generation, collection, and processing workflows. This role involves creating efficient data pipelines, ensuring high data quality, and implementing critical ETL processes for seamless data migration and deployment across diverse systems.

Key responsibilities include independently driving projects and becoming a subject matter expert, actively contributing to team discussions, and offering effective solutions to challenges. You will collaborate with cross-functional teams to understand data needs and deliver scalable solutions, while also monitoring and troubleshooting data pipelines for optimal performance and reliability. Documenting data processes and workflows is essential for knowledge sharing, and you will also mentor junior team members.

We are seeking a candidate with a strong foundation in Data Modeling Techniques and Methodologies. Essential skills include expertise in data pipeline architecture and data integration strategies, coupled with experience in designing and implementing ETL processes. Familiarity with data quality assurance practices and data governance principles is also required, along with the ability to optimize data workflows for performance. A solid understanding of database systems and data storage solutions is crucial. A minimum of 3 years of experience in Data Modeling Techniques and Methodologies is mandatory. The candidate must possess 15 years of full-time education.