Join a dynamic team building scalable data pipelines and Snowflake data warehouses. You’ll apply advanced SQL and ETL expertise to deliver high‑performance data solutions for diverse clients.
What You’ll Do
- Build and maintain ETL/ELT pipelines for data integration and transformation.
- Design, implement, and optimize Snowflake data warehouse schemas.
- Write, tune, and maintain complex SQL queries and stored procedures.
- Develop fact and dimension tables, implementing slowly changing dimensions.
- Ensure data quality, reliability, and performance across platforms.
- Collaborate with business and technical stakeholders on scalable solutions.
- Diagnose production issues and improve ETL workflow efficiency.
What You Need
- 4+ years of ETL/Data Engineering experience.
- Strong SQL development and query optimization (SQL Server, Snowflake).
- Hands‑on Snowflake and cloud data platform expertise.
- Deep understanding of data warehousing concepts (star, snowflake, SCD).
- Proven ability to build scalable ETL/ELT pipelines.
- Experience with source‑to‑target mapping and data validation.
- Performance tuning and data engineering best practices.
Good to Have
- Experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake).
- Power BI dashboard development and DAX modeling.
- Knowledge of Fabric‑Snowflake integration and modern analytics architectures.
- Exposure to Azure, AWS, or GCP cloud services.
The Opportunity
YASH offers a hyperlearning culture that blends flexible work, agile self‑determination, and continuous upskilling.