onsite
Snowflake Data Engineer - Cognizant
Data Engineer
Senior Data Engineer leading large‑scale Oracle‑to‑Snowflake migrations, modernizing legacy platforms, and designing scalable cloud pipelines with AI‑enhanced transformation and validation.
About the role
Key Responsibilities
- Lead end‑to‑end Oracle to Snowflake migration projects, ensuring data integrity and minimal downtime.
- Design, develop, and optimize scalable ETL pipelines using Snowflake, SQL, and modern cloud tooling.
- Implement AI‑driven techniques to accelerate data transformation, validation, and quality checks.
- Collaborate with data architects and stakeholders to modernize legacy data platforms and define best practices.
- Document architecture, processes, and performance tuning guidelines for future maintenance.
Requirements
- 8+ years of experience as a data engineer with deep expertise in ETL and SQL.
- Proven track record of large‑scale Oracle to Snowflake migrations and cloud data platform modernization.
- Strong knowledge of Snowflake architecture, data modeling, and performance optimization.
- Experience applying AI or machine learning techniques to data transformation and quality assurance.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.