Happiest Minds Technologies
SENIOR DATA ENGINEER - Snowflake
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- 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.
Full description
Senior Data Engineer ? Snowflake & AILocation: 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.