Join our team as a Data Engineer and play a pivotal role in shaping our data landscape. You will be responsible for designing, developing, and maintaining robust data solutions essential for data generation, collection, and processing.

Your day-to-day activities will involve building efficient data pipelines, ensuring the highest standards of data quality, and implementing sophisticated ETL processes for seamless data migration and deployment across diverse systems. You will collaborate closely with various teams to understand intricate data requirements and contribute significantly to our organization's overarching data strategy, guaranteeing that our data solutions are resilient, scalable, and perfectly aligned with our business aspirations.

As an independent contributor, you are expected to become a subject matter expert (SME) and actively engage in team discussions to provide valuable solutions to work-related challenges. You will analyze and resolve data-related issues to optimize data solution performance.

Furthermore, you will collaborate with stakeholders to effectively gather requirements and translate them into detailed technical specifications. This role demands active participation in problem-solving and a proactive approach to enhancing our data infrastructure.

To excel in this role, a strong command of Java Enterprise Edition is a must, complemented by a solid understanding of data modeling and database design principles. Experience with ETL tools and frameworks for data integration is highly beneficial.

Familiarity with cloud platforms and services for data storage and processing, along with knowledge of data governance and data quality best practices, will be advantageous. A minimum of 3 years of experience in Java Enterprise Edition is required, and candidates must have completed 15 years of full-time education.