Lead Data Engineer -Remote

Cognizant is seeking a Lead Data Engineer who will serve as an engineering lead within the Technology & Data organization. This role combines expertise in analytics and data engineering, providing technical direction and mentoring to other engineers.

Responsibilities:

• Mentors and supports analytics and data engineers
• Conducts code reviews
• Sets high standards for technical quality
• Design, test, and maintain both conceptual and analytical data models
• Optimize performance through partitioning and indexing
• 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
• 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
• Communicate effectively across technical and non-technical teams
• Actively participate in agile ceremonies and contribute to sprint goals
• Apply agile principles to respond to change, iterate quickly, and continuously improve team processes and product outcomes

Requirements:

• Deep expertise in both analytics engineering and data engineering
• Technical direction and thought leadership across teams
• Mentoring and supporting analytics and data engineers
• Conducting code reviews
• Setting high standards for technical quality
• Exceptional technical skills
• Data Build Tool
• Snowflake
• Advanced Data Modelling expertise
• Fivetran
• Excellent communication skills
• Design, test, and maintain conceptual and analytical data models
• Optimize performance through partitioning and indexing
• 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
• 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
• Mastery of SQL skills
• Skilled in version control systems for collaborative development and code management (i.e Azure DevOps, GitHub)
• Implementing logging, metrics, and alerting for data pipelines
• Strong communication and collaboration skills
• Collaborate with analysts, analytics and data engineers, and solution architects
• Communicate effectively across technical and non-technical teams
• Actively participate in agile ceremonies and contribute to sprint goals
• Apply agile principles to respond to change, iterate quickly, and continuously improve team processes and product outcomes