Snowflake Data Engineer

Overview

Join NTT DATA's Data & AI practice as a Snowflake Data Engineer to help design and optimize modern data ecosystems that enable data-driven decision making, analytics, and AI capabilities for clients. You will collaborate with architects, developers, and analysts to build secure, high-performing data pipelines on Snowflake and cloud-native platforms. You’ll own the data lifecycle from ingestion to governance, solving complex data challenges and driving innovation. This client-facing role offers opportunities to shape scalable data solutions and contribute to the growth of the practice.

Responsibilities

• Client engagement and delivery
• Data pipeline development (batch and streaming)
• Snowflake and cloud data platforms
• Data architecture and modelling
• Collaboration and best practices
• Quality, governance and security

Key requirements

• Proven data engineering experience on Snowflake and cloud-native platforms
• Strong client-facing collaboration skills
• Hands-on experience across ingestion, transformation, modelling, governance, and consumption
• Strong problem-solving, analytical, and communication abilities
• Experience leading or mentoring engineers to deliver scalable data solutions

• strong communication
• collaboration
• problem-solving
• Snowflake features (warehouses, Snowpark, data sharing, performance tuning)
• ETL/ELT tools (DBT, Matillion, Talend)
• SQL and Python (or equivalent)