Key Responsibilities
- Pipeline Development: Build, monitor, and maintain scalable data ingestion and transformation pipelines using Python and Snowflake.
- Data Warehousing: Design and manage optimized data models, schemas, and warehouse architecture within Snowflake.
- Query Optimization: Write and tune complex SQL queries, window functions, and Common Table Expressions (CTEs) for maximum performance.
- Feature Exploitation: Implement native Snowflake features like Snowpipe, Tasks, Streams, Stored Procedures, and Snowpark.
- Data Integration: Connect to REST/SOAP APIs, cloud storage, and relational databases to extract and normalize diverse file formats (JSON, CSV, Parquet).
- Quality Assurance: Develop validation and automated testing frameworks to enforce data reliability, governance, and error handling.
- Collaboration:



Work closely with Data Analysts, Scientists, and Product Teams to translate complex business objectives into production-ready pipelines.

Mandatory Technical Skills
- Snowflake: Expert-level knowledge of architecture (compute vs. storage separation), micro-partitioning, and performance tuning.
- Python: Solid programming proficiency for data manipulation, file parsing, and system automation.
- SQL: Mastery of advanced relational database querying, optimization strategies, and analytical indexing.
- Data Modeling: Solid understanding of dimensional modeling, Star/Snowflake schemas, and Fact/Dimension configurations.

📌 Opening For Data Engineer (Noida)
🏢 EXL
📍 Noida