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.
Skills & Qualifications
Must-Have
- Snowflake
- SQL
- ETL/ELT
- Python
- Apache Airflow
- Data Modeling
- Cloud Data Warehousing
- Performance Tuning
Preferred
- DBT (Data Build Tool)
- Looker or Power BI
- AWS / Azure
Benefits & Culture Highlights
- 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.
Skills: etl,sql,snowflake,data engineering
