Snowflake developer

Snowflake developer

• Primary skills:Technology->Data on Cloud-DataStore->Snowflake Minimum Qualifications: • 3–5 years of experience in data platform engineering, systems engineering, or a related role. • Hands-on experience with Snowflake including performance tuning, security/RBAC, and environment management. • Hands-on experience with dbt (Data Build Tool) including model development, testing, and documentation. • Strong SQL skills and experience working with structured datasets and transformation logic. • Bachelor’s degree or equivalent in Engineering/Computer Science or related fields (BTech/BE/BSc or equivalent). Preferred Qualifications: • Experience designing dimensional models (star/snowflake schemas) and building curated data marts for analytics use cases. • Familiarity with CI/CD practices for analytics engineering (version control, automated testing, controlled deployments). • Experience implementing data observability practices and operational monitoring for pipelines and warehouse workloads. • Exposure to cost governance in Snowflake (warehouse optimization, query profiling, usage analytics). • Postgraduate qualification (MTech/MCA/MSc or equivalent) is a plus. Good to have skills: Git, CI/CD, Data Modeling, Data Quality/Observability, Python Key Responsibilities: Snowflake Platform Engineering • Design, implement, and maintain Snowflake environments including warehouses, databases, schemas, roles, and resource monitors. • Optimize query performance and warehouse sizing through workload analysis, clustering strategies, and best-practice tuning. • Implement secure access controls using RBAC, ensuring least-privilege access and audit-friendly governance. • Monitor platform health, usage, and cost; recommend improvements to balance performance and spend. Data Transformation with dbt • Build and maintain dbt models, tests, and documentation to deliver reliable, analytics-ready datasets. • Establish modular transformation patterns (staging, intermediate, marts) and enforce consistent naming/versioning standards. • Implement data quality checks using dbt tests and support root-cause analysis for data issues. Operational Excellence • Support release and deployment workflows for Snowflake/dbt changes with strong change management practices. • Collaborate with cross-functional teams to translate business requirements into scalable data solutions. • Create clear technical documentation and runbooks for ongoing operations an