Join our dynamic team as a Data Engineer, playing a pivotal role in designing, developing, and maintaining robust data solutions. You will be instrumental in data generation, collection, and processing, creating efficient data pipelines and ensuring high data quality. This position involves implementing comprehensive ETL processes for seamless data migration and deployment across various systems, contributing significantly to our data infrastructure strategy.

As a Data Engineer, you will be expected to perform independently and evolve into a subject matter expert. Active participation in team discussions and contributing solutions to work-related challenges are key. You will collaborate effectively with cross-functional teams to align data platform initiatives and identify opportunities for process improvements. Furthermore, you will support junior team members by sharing knowledge and providing guidance.

Your daily activities will involve contributing to the refinement of the data platform blueprint and design, working closely with Integration Architects and Data Architects for seamless system integration. A proactive approach to understanding evolving data platform components and aligning technical solutions with organizational goals within a team environment is essential.

We are seeking candidates with a minimum of 3 years of experience in Data Engineering. A foundational understanding of data pipeline development and data integration techniques is crucial, alongside experience with cloud-based data storage and processing solutions. Familiarity with data modeling concepts and best practices, along with the ability to optimize data workflows for performance and scalability, are highly valued. A 15-year full-time education is a requirement for this role. Essential skills include proficiency in Data Engineering, Python, Amazon Web Services (AWS), and PySpark.