Lead Snowflake Engineer

Lonvec Technologies Private Limited; Bengaluru, Hyderabad, Pune District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

KPI Partners is seeking an experienced Lead Snowflake Engineer to join their growing data engineering team in Bengaluru. The role focuses on hands-on Snowflake work, designing, developing and optimizing scalable data solutions across modern cloud architectures.

You will build and optimize data pipelines and ETL processes, collaborate with cross-functional teams to deliver high-quality data solutions, and troubleshoot performance issues by applying best practices in data warehousing and modern

Qualifications

• Experience designing data warehouses and modern data architectures.
• Hands-on ETL development and optimization for large-scale datasets.
• Proficiency in building and maintaining data pipelines.
• Familiarity with cloud-based data platforms and architectures.
• Strong ability to troubleshoot performance issues and apply best practices.

Responsibilities

• Design, develop and optimize scalable data solutions using Snowflake.
• Develop and optimize data pipelines and ETL processes.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Troubleshoot performance issues and implement data warehousing best practices.
• Stay current with evolving data engineering technologies and methods.

Skills

Data Warehousing

ETL

Data pipelines

Cloud data platforms

Performance optimization

Tools

Snowflake

Job description

We are hiring on behalf of our client, KPI Partners, for an experienced Lead Snowflake Engineer to join their growing data engineering team. The ideal candidate should have strong hands-on experience with Snowflake and modern data engineering practices with the ability to design, develop, and optimize scalable data solutions. Design and implement scalable data solutions using Snowflake. Develop and optimize data pipelines and ETL processes. Work with modern cloud-based data platforms and architectures. Collaborate with cross-functional teams to deliver high-quality data solutions. Troubleshoot performance issues and implement best practices.

Requirements

• Data Warehousing
• Modern Data Architecture