- Candidates must have hands-on experience in data engineering and Cloud platform implementation.

- Proficient in writing complex SQL queries tuned for performance

- Designing multi tera-byte cloud Database solutions for Data warehousing and analytics.

- Lead and mentor teams while managing multiple priorities.

- Proven experience in designing and leading modern data architecture, pipelines, and scalable solutions

- Expertise in building end-to-end data platforms (e.g., Snowflake, Databricks) and managing Data Warehouses

- Strong leadership skills to lead a team and collaborate across peers, senior management, and business stakeholders

- Proficiency in strategizing and implementing CI/CD frameworks and modern data engineering best practices

- Solid knowledge of designing and integrating AI-driven data solutions

- Enterprise-scale data architecture and engineering

- Cloud platform implementation and optimization

- Advanced SQL and data modeling for large-scale analytics