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SENIOR DATA ENGINEER - Snowflake

Happiest Minds Technologies · IT Services & Consulting

  • Bengaluru
  • On-site
  • Posted today
  • Data & AI

About the job

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.