Snowflake Developer

About The Opportunity

A rapidly scaling technology services firm operating in the Data Engineering & Cloud Analytics space, we empower enterprise clients across BFSI, Retail, and Healthcare with modern cloud data platforms. We’re building high-performance, secure, and scalable data ecosystems on Snowflake — integrating ingestion, transformation, governance, and consumption layers to drive real-time insights and AI/ML readiness for global clients. Role & Responsibilities

• Design, develop, and optimize Snowflake schemas, data pipelines, and ETL/ELT workflows for enterprise-scale data warehousing.
• Write high-performance SQL, stored procedures, and UDFs; automate routine tasks using Snowflake Tasks & Streams.
• Integrate Snowflake with ingestion tools (e.g., Apache Kafka, Fivetran, Airbyte) and orchestration engines (e.g., Apache Airflow, Dagster).
• Implement data governance, masking, and row-level security policies while ensuring compliance with SLAs and GDPR/Data Privacy standards.
• Collaborate with data analysts and scientists to tune data models for analytical performance and cost-efficiency.
• Monitor Snowflake usage, query performance, and credit consumption; recommend scaling, clustering, and caching strategies.
  
  

• Snowflake
• SQL
• ETL/ELT
• Python
• Apache Airflow
• Data Modeling
• Cloud Data Warehousing
• Performance Tuning
  
  

• DBT (Data Build Tool)
• Looker or Power BI
• AWS / Azure
  
  

• Work with high-impact clients and cutting-edge cloud data stacks at scale.
• Opportunity to grow into Snowflake Architect or Data Engineering leadership roles.
• On-site collaboration with cross-functional teams in a fast-paced, outcome-driven environment.