Lead Data Engineer

Cognizant is seeking a Lead Data Engineer who serves as an engineering lead within the Technology & Data organization. This role requires deep expertise in analytics engineering and data engineering, providing technical direction and mentoring to other engineers while ensuring high standards for technical quality.

Responsibilities:

• Design, test, and maintain both conceptual and analytical data models, including logical, physical, and dimensional (star/snowflake) schemas, to support business analytics and reporting, optimize performance through partitioning and indexing, and ensure quality and consistency via SQL best practices and peer code reviews
• Design, build, and optimize scalable, maintainable, and resilient end-to-end ETL/ELT data pipelines
• Leverage orchestration tools for scheduling, dependency management, and error handling, while extracting and transforming data from source systems
• Utilize platforms like dbt to ensure robust data flow, conduct UAT, and manage code releases for reliable system performance
• Implementing logging, metrics, and alerting for data pipelines
• Collaborate with analysts, analytics and data engineers, and solution architects to align data solutions with strategic goals
• Communicate effectively across technical and non-technical teams
• Actively participate in agile ceremonies and contribute to sprint goals

Requirements:

• Data Build Tool, Snowflake, Advanced Data Modelling experts
• Excellent communication skills
• Fivetran