Description

Key Skills: Snowflake, AWS Cloud, ETL, SQL, Python

Roles and Responsibilities:

• Define and own end-to-end data platform architecture with Snowflake as the core warehouse.
• Design scalable batch and streaming/real-time data systems on AWS and establish platform standards for reliability and governance.
• Develop and maintain enterprise logical data models (LDM) aligned to business domains, including semantic and analytics enablement patterns.
• Hands-on design and implementation of critical platform components using Python and Snowflake, including ELT pipelines and performance tuning.
• Establish data governance, cataloging, lineage, data quality validation, and secure access controls using Snowflake and AWS best practices.

Skills Required:

• 10 to 15 years of experience in data engineering, analytics, or data platform roles.
• ETL design and implementation for structured and unstructured data pipelines.
• AWS Cloud architecture and data platform implementation on AWS services.
• Snowflake architecture, performance tuning, and data modeling for enterprise analytics.
• Python and SQL-based pipeline development, transformations, and query optimization.

Good to Have:

• Experience with Snowflake ecosystem tooling and modern semantic layers.
• Exposure to real-time event-driven architectures and data-intensive/SaaS environments.
• Familiarity with AI/ML concepts, LLM/RAG, vector databases, or GenAI/agentic systems.

Education: Bachelor's/Master's in Computer Science, Engineering, or related field

Key Skills

Education

Any Graduate