Description

You will design and implement data architecture patterns for analytics and reporting. You will build backend processing components and event-driven logic using AWS Lambda. You are responsible for integrating and optimizing data pipelines that feed Snowflake. You will collaborate with engineering and data stakeholders to ensure data quality, performance, and scalability.

This role is on-site.

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.

Required Skills

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

Preferred Skills

• Advanced SQL skills, including querying, optimization, and data validation.
• B.E. in Computer Engineering.

Key Skills

Education

Any Graduate