Description

Key Skills: Snowflake, Data architecture, AWS Lambda, SQL

Roles and Responsibilities:

• Design and implement data architecture patterns for analytics and reporting use cases.
• Develop and maintain data ingestion and transformation workflows using AWS services.
• Build backend data processing components and event-driven logic with AWS Lambda.
• Integrate and optimize data pipelines feeding Snowflake for analytics consumption.
• Collaborate with engineering and data stakeholders to ensure data quality, performance, and scalability.

Skills Required:

• 12 - 15 years of relevant experience in software engineering and data architecture
• AWS Lambda for event-driven data processing and automation.
• Data architecture experience across modeling, ingestion, and analytics-ready structures.
• Snowflake for warehousing, loading, and performance optimization.
• SQL proficiency for querying, validation, and troubleshooting of data pipelines.

Good to Have:

• SQL (advanced querying, optimization, and data validation)

Education: B.E. in Computer Engineering

Key Skills

Education

Any Graduate