Design and implement data warehousing solutions using Snowflakes architecture.
Develop and optimize SQL queries, stored procedures, and UDFs for performance.
Create and maintain automated data pipelines leveraging Snowflake features (Snowpipe, Streams, Tasks).
Configure and manage Snowflake environments across development, testing, and production.
Implement data security and governance protocols (RBAC, masking, encryption).
Collaborate with data analysts, engineers, and business stakeholders to deliver data models and reports.
Integrate AI/ML workflows using Snowpark and external services.
Monitor and tune query performance and resource utilization. [index.dev], [tealhq.com]
Required Skills
Strong proficiency in SQL and Snowflake platform.
Experience with ETL/ELT processes and data warehousing concepts.
Knowledge of data modeling and optimization techniques.
Familiarity with cloud platforms (AWS, Azure, GCP).
Programming skills in Python or Java for Snowpark development.
Understanding of data security and compliance requirements.
Experience with CI/CD practices and version control tools (Git).Role & responsibilities
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full time