Description
Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
Develop complex and optimized SQL queries for data transformation, extraction, and analysis.
Build and maintain ETL/ELT pipelines for integrating data from multiple source systems.
Design Snowflake databases, schemas, tables, views, stages, streams, and tasks.
Develop efficient data transformation processes using Snowflake SQL and Stored Procedures.
Implement incremental data loading and change-data-capture (CDC) strategies.
Optimize Snowflake workloads for performance, scalability, and cost efficiency.
Monitor data pipelines and troubleshoot data processing failures and performance issues.
Perform data validation, reconciliation, and quality checks across source and target systems.

Responsibilities
Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
Develop complex and optimized SQL queries for data transformation, extraction, and analysis.




Build and maintain ETL/ELT pipelines for integrating data from multiple source systems.
Design Snowflake databases, schemas, tables, views, stages, streams, and tasks.
Develop effective data transformation processes using Snowflake SQL and Stored Procedures.
Implement incremental data loading and change-data-capture (CDC) strategies.
Optimize Snowflake workloads for performance, scalability, and cost efficiency.
Monitor data pipelines and troubleshoot data processing failures and performance issues.
Perform data validation, reconciliation, and quality checks across source and target systems.

Qualifications
5+ years of experience in data engineering or a related field.
Solid hands-on experience with Snowflake.
Advanced SQL skills.
Robust understanding of data warehousing concepts, including:
Star and snowflake schemas
Fact and dimension tables
Slowly Changing Dimensions (SCD)
Data modeling
ETL/ELT
Experience develo

📌 Snowflake Data Engineer Noida
🏢 EXL
📍 Noida