Data Engineer

• Design and implement scalable data architectures that meet the needs of QSC’s growing data landscape, ensuring flexibility, performance, and security.
• Lead efforts to modernize the company’s data architecture, including cloud migration, data lake strategies, and integrating new technologies.
• Establish and maintain data governance standards and best practices for data architecture, modeling, and management.
• Architect data solutions that leverage microservices to provide modular, scalable, and reusable components across the enterprise.
• Collaborate with cross-functional stakeholders to align data architecture with business objectives and to ensure seamless integration across departments.
• Build, optimize, and manage ETL/ELT processes to ensure efficient data flow between systems, applications, and data warehouses.
• Develop and maintain robust data pipelines for both structured and unstructured data sources, ensuring data is processed efficiently and made available to business users.
• Build and deploy APIs for seamless integration and consumption of data across different platforms, ensuring security, performance, and scalability.
• Leverage middleware to integrate legacy systems with modern data platforms, ensuring smooth data flow between services.
• Collaborate with software engineering teams to implement data solutions that meet performance and scalability requirements.
• Ensure the security of data systems through strong architectural designs that comply with regulatory standards.
• Execute on best practices to ensure data quality at ingestion and pipeline.

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