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The Data Engineer will design and build data models, maintain data ingestion and processing systems, implement data storage solutions, and ensure data accuracy while collaborating with various teams on data-related issues, primarily utilizing Python, Airflow, and AWS services.

The role requires developing backend solutions using Java and related technologies, including Spring Boot and REST Services. The engineer should have experience in microservices architecture, SDLC processes, and database management. Additionally, familiarity with security protocols and cloud environments is essential.

The Technical Architect oversees quality control processes, maintains project alignment with objectives, identifies and mitigates risks, communicates with stakeholders, develops technology roadmap, transitions systems to cloud infrastructure, designs cloud architecture, creates design documents, optimizes software, implements data integration strategies, and enhances software applications.