Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have

skills:
Snowflake Data Warehouse Good to have

skills:
Data Engineering, Data Build Tool, Fivetran, Gen AI Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Snowflake Lead, you will build scalable, secure, and high-performance Snowflake pipelines across multiple projects and teams. Your typical day will involve collaborating with Team Leads to ensure alignment with the design of the architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. From CoE perspective, you will support delivery teams, and contribute to the execution of POVs and POCs including GenAI. Roles &

Responsibilities:
Project Role : Snowflake Lead Project Role Description : Build scalable, secure, and high-performance Snowflake pipelines in projects. Contributes to CoE initiatives related to creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects.
• Build complex data pipelines,



implement ETL/ELT processes, and work with semi-structured and structured data to support analytics and reporting.
• Collaborate closely with architects, data engineers, and business teams to translate requirements into scalable solutions, ensure data quality, and maintain security best practices.
• Experience with Snowflake features
- performance tuning, writing advanced SQL queries, and leveraging Snowflake features like Snowpipe, Streams, Tasks, and Stored Procedures.
• Stay abreast of evolving Snowflake and GenAI capabilities.
• Contribute to GenAI initiatives led by the CoE. Professional & Technical

Skills:
• Must have

skills:
Snowflake Data Warehouse with knowledge of GenAI Features in Snowflake
• Good to have

skills:
dbt, Fivetran, Python
• Must To Have

Skills:
Proficiency in Snowflake Data Warehouse, SnowPro Core Certification (must)
• Proven Expertise in Data Engineering including GenAI, including Cortex LLM functions, basic understanding on Cortex Analyst, Cortex Search, and Cortex Agents.
• Robust communication skills. Additional Information:
• The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.
• This position is PAN India. Overall

Experience:
5-7 years Snowflake

Experience:
Minimum 2 years

📌 Data Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru