Data Engineer

• Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives.
• Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories.
• Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms.
• Collaborate with data architects, analysts, and other stakeholders to define and implement data models, schemas, and storage solutions.
• Ensure data quality, consistency, and security by implementing best practices and monitoring frameworks.
• Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.
• Stay up to date with emerging technologies and trends in data engineering and integration to recommend improvements and innovations.
• Document technical designs, processes, and standards for the team and stakeh...

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