Join our team as a Data Engineer to conceptualize, build, and manage sophisticated data solutions. This role focuses on enhancing data generation, collection, and processing capabilities. You will be instrumental in creating robust data pipelines, upholding data integrity, and implementing efficient ETL processes for seamless data migration and deployment across diverse systems. Collaboration and problem-solving are key to improving data workflows.

As a Data Engineer, you will be expected to become a subject matter expert and operate autonomously. Active involvement in team discussions and contributing to solution development are crucial. You will also play a part in optimizing data processing workflows for improved performance. Collaborating with cross-functional teams to grasp data needs and deliver impactful solutions will be a core aspect of this role.

A solid foundation in designing, developing, and maintaining data solutions is essential. Proven experience in building data pipelines, ensuring data quality, and implementing ETL processes is required. Proficiency with the Databricks Unified Data Analytics Platform is a must. Familiarity with data integration tools, strong data modeling, and database design principles are also necessary. Knowledge of cloud platforms and programming languages like Python or Scala is highly valued. A minimum of 3 years of experience is mandatory, and a full-time education of 15 years is required.