Data Engineer (Snowflake, Sql, Python)

Key Skills: Snowflake, Snowpipe, SQL, Python

Roles and Responsibilities:

• Design, develop, and maintain scalable data ingestion pipelines and data models using Snowflake and Snowpipe.
• Build and enhance data warehouse solutions that support reporting, analytics, and business data consumption.
• Develop reliable data processing and transformation workflows for complex data engineering requirements.
• Troubleshoot pipeline failures, data quality issues, query performance problems, and production incidents.
• Own medium- to high-complexity projects from technical design through implementation and support.

Skills Required:

• 6 - 10 years of professional experience in data engineering, data warehousing, or related engineering roles.
• Hands-on experience with Snowpipe for continuous or automated data ingestion.
• Strong experience designing and implementing solutions on Snowflake cloud data warehouse.
• Practical understanding of scalable data pipelines, data modeling, ETL/ELT, and warehouse architecture.
• Experience supporting production data platforms, resolving pipeline issues, and improving reliability and maintainability.

Good to Have:

• Python and SQL experience for data engineering, transformation, analysis, and reporting workflows.

Education: B.Sc., B.E., B.Tech, or B.Tech M.Tech Dual Degree in Computer Science, Computer Engineering, Computer Applications, or a related discipline.