Senior Analyst, Data Engineering

Data Engineering

Data Engineering is the practice of designing, building, and maintaining systems that collect, store, process, govern, and analyze large volumes of data required by analysts, data scientists, and AI/ML applications. It serves as the foundation for enabling data-driven insights, intelligent automation, and AI-powered decision-making across the organization.

Responsibilities

• ETL/ELT processing
• Data transformation
• Data quality
• Data governance
• Data security
• AI-ready data architectures across enterprise platforms

Qualifications

• Experience with data engineering tools and technologies
• Strong understanding of data architecture and design principles
• Knowledge of data management best practices
• Experience with data quality and governance processes
• Understanding of data security standards and practices
• Experience with AI/ML integration and data preparation