Snowflake Tech Lead & Data Engineer

Overview

Company : krtrimaIQ Cognitive Solutions
Location- Bangalore / Remote
Experience: 8+ yrs
Preferred : Immediate Joiners

Job Description:
We are seeking a highly skilled Snowflake Tech Lead & Data Engineer with expertise in dbt, Snowflake Cortex, and advanced data engineering practices. The ideal candidate will lead a team of engineers, design and implement scalable data pipelines, ensure data quality and governance, and drive innovation in data streaming and analytics within Snowflake.
Key Responsibilities
Leadership & Team Management
◦ Lead and mentor a team of 6+ data engineers over the past 1–2 years.
◦ Drive technical excellence, code reviews, and best practices in SQL, Python, and Snowflake development.
◦ Collaborate with cross-functional teams to align data engineering initiatives with business goals.
Snowflake Expertise
◦ Hands-on experience with Snowflake Cortex for advanced analytics and AI-driven insights.
◦ Proficient in Streams, Tasks, and Dynamic Tables for real-time data processing.
◦ Design, implement, and manage Snowpipe for automated ingestion.
◦ Build and maintain Streamlit applications within Snowflake for interactive data visualization and exploration.

Data Engineering & Pipeline Development
◦ Architect, design, and execute data pipelines with a focus on scalability, reliability, and performance.
◦ Implement data streaming solutions and real-time ingestion using APIs, Python scripts, and Snowflake-native tools.
◦ Ensure data quality, governance, and compliance across all pipelines.
◦ Expertise in debugging, error handling, and failure notifications to maintain high system reliability.
Tooling & Integration
◦ Strong proficiency in dbt (Data Build Tool) for transformation workflows and modular pipeline design.
◦ Experience with API integrations and custom ingestion frameworks using Python.
◦ Advanced SQL and Python skills for data modeling, transformation, and automation.

Required Skills & Qualifications
• 6+ years of experience in data engineering with at least 2 years in a technical leadership role.
• Deep expertise in Snowflake ecosystem including Cortex, Streams, Tasks,Time Travel, Cloning, RBAC, RAP, RLS , Dynamic Tables, and Snowpipe.
• Strong hands-on skills in SQL (basic and advanced) and Python.
• Proven experience with dbt for data transformation and pipeline orchestration.
• Experience in data governance, quality frameworks, and compliance standards.
• Track record of building and managing Streamlit applications within Snowflake.
• Excellent problem-solving skills with a focus on debugging, error handling, and system reliability.
• Strong communication and leadership skills to manage and mentor engineering teams.