SENIOR DATA ENGINEER - Snowflake

Happiest Minds Technologies; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru seeks a Senior Data Engineer with 5–8 years of hands-on Snowflake experience to deliver scalable data solutions using the Medallion Architecture. The role emphasizes AI-assisted productivity and maintaining high-quality data products for clients.

You will own Snowflake modules, optimize data quality and performance, and collaborate with stakeholders to translate business needs into practical data solutions.

Qualifications

• Bachelor's degree in Computer Science, IT, or related field; Snowflake certification is a plus.
• Hands-on Snowflake implementation experience and familiarity with Medallion Architecture.

Responsibilities

• Take ownership of Snowflake modules and ensure delivery aligns with requirements and specs.
• Implement data ingestion, transformation, modeling, and consumption using Medallion Architecture.
• Build data workflows with Streams, Tasks, Dynamic Tables, Snowpark; utilize Snowflake Cortex for optimization.
• Optimize data quality, performance, accessibility, and cost across solutions.
• Leverage AI pair programming tools; validate outputs for accuracy and code quality.
• Collaborate with clients, stakeholders, and team members to translate business needs into data solutions.

Skills

SQL

Data Modelling

ETL/ELT

Performance tuning

Client-facing delivery

Python

Education

Bachelor's degree in Computer Science / IT or related field

Snowflake certification

Tools

Snowflake

Medallion Architecture

Snowpark

DBT

Azure Data Factory (ADF)

Kafka

Python (for data manipulation)

Tableau

Streamlit

RBAC / Data governance

Job description

Senior Data Engineer ? Snowflake & AI

Location: SMILES 2, Bengaluru

Years of Experience: 5-8 Years

Job Summary

We are seeking a Senior Data Engineer with hands-on expertise in Snowflake to deliver scalable, client-facing data solutions. This role involves the implementation, optimization, and support of assigned modules or systems. The ideal candidate will leverage AI tools to enhance productivity and ensure high-quality data solutions.

Key Responsibilities

• Take ownership of assigned Snowflake modules or systems, ensuring delivery and maintenance align with agreed requirements and technical specifications.
• Implement data ingestion, transformation, modeling, and consumption using Medallion Architecture (Bronze, Silver, Gold) to streamline data processes.
• Build data workflows utilizing Streams, Tasks, Dynamic Tables, and Snowpark; apply Snowflake Cortex for data processing optimization.
• Optimize data quality, accessibility, performance, and cost efficiency across all data solutions.
• Utilize AI tools for pair programming, workflow automation, and productivity enhancements; validate generated outputs for accuracy and code quality.
• Collaborate with clients, stakeholders, and team members to translate business needs into effective data solutions, sharing knowledge and adhering to engineering best practices.

Mandatory Skills

• Hands-on Snowflake implementation experience, including familiarity with Medallion Architecture.
• Strong SQL, Data Modelling, ETL/ELT, and performance tuning skills, with a proactive approach to problem-solving.
• Knowledge of Snowflake Cortex for data optimization; hands-on experience is preferred.
• Experience with AI pair programming tools, such as Claude and Copilot.
• Client-facing delivery experience with strong communication skills.

Preferred Skills

• Exposure to Snowflake MCP and AI-driven data workflows.
• Knowledge of Azure Cloud and CI/CD Pipelines.
• Experience with Snowpark, DBT-Data Build Tool, ADF, and Kafka Stream.
• Proficiency in Python for data manipulation and quality assurance.
• Data visualization experience with Tableau and Streamlit-in-Snowflake.
• Understanding of Data Governance, RBAC design, and PII regulatory compliance.
• Experience in the Ecommerce domain.

Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in Snowflake or data engineering are a plus.